Social Network Analytics

📒Social Network Analytics ✍ Nilanjan Dey

Social Network Analytics Book PDF
✏Book Title : Social Network Analytics
✏Author : Nilanjan Dey
✏Publisher : Academic Press
✏Release Date : 2018-11-16
✏Pages : 267
✏ISBN : 9780128156414
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Social Network Analytics Book Summary : Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. Examines a variety of data analytic techniques that can be applied to social networks Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change Covers the most recent research on social network analysis and includes applications to a number of domains

📒Social Network Data Analytics ✍ Charu C. Aggarwal

Social Network Data Analytics Book PDF
✏Book Title : Social Network Data Analytics
✏Author : Charu C. Aggarwal
✏Publisher : Springer Science & Business Media
✏Release Date : 2011-03-18
✏Pages : 502
✏ISBN : 9781441984623
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Social Network Data Analytics Book Summary : Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.

📒Big Data Analytics ✍ Mrutyunjaya Panda

Big Data Analytics Book PDF
✏Book Title : Big Data Analytics
✏Author : Mrutyunjaya Panda
✏Publisher : CRC Press
✏Release Date : 2018-12-12
✏Pages : 316
✏ISBN : 9781351622592
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Big Data Analytics Book Summary : Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection.

Social Network Analytics For Contemporary Business Organizations Book PDF
✏Book Title : Social Network Analytics for Contemporary Business Organizations
✏Author : Bansal, Himani
✏Publisher : IGI Global
✏Release Date : 2018-03-23
✏Pages : 321
✏ISBN : 9781522550983
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Social Network Analytics for Contemporary Business Organizations Book Summary : Social technology is quickly becoming a vital tool in our personal, educational, and professional lives. Its use must be further examined in order to determine the role of social media technology in organizational settings to promote business development and growth. Social Network Analytics for Contemporary Business Organizations is a critical scholarly resource that analyzes the application of social media in business applications. Featuring coverage on a broad range of topics, such as business management, dynamic networks, and online interaction, this book is geared towards professionals, researchers, academics, students, managers, and practitioners actively involved in the business industry.

Exam Prep For Social Network Analytics Book PDF
✏Book Title : Exam Prep for Social Network Analytics
✏Author :
✏Publisher :
✏Release Date :
✏Pages :
✏ISBN :
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Exam Prep for Social Network Analytics Book Summary :

📒Python Social Media Analytics ✍ Siddhartha Chatterjee

Python Social Media Analytics Book PDF
✏Book Title : Python Social Media Analytics
✏Author : Siddhartha Chatterjee
✏Publisher : Packt Publishing Ltd
✏Release Date : 2017-07-28
✏Pages : 312
✏ISBN : 9781787126756
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Python Social Media Analytics Book Summary : Leverage the power of Python to collect, process, and mine deep insights from social media data About This Book Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more Analyze and extract actionable insights from your social data using various Python tools A highly practical guide to conducting efficient social media analytics at scale Who This Book Is For If you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process. What You Will Learn Understand the basics of social media mining Use PyMongo to clean, store, and access data in MongoDB Understand user reactions and emotion detection on Facebook Perform Twitter sentiment analysis and entity recognition using Python Analyze video and campaign performance on YouTube Mine popular trends on GitHub and predict the next big technology Extract conversational topics on public internet forums Analyze user interests on Pinterest Perform large-scale social media analytics on the cloud In Detail Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business. Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes. Style and approach This book follows a step-by-step approach to teach readers the concepts of social media analytics using the Python programming language. To explain various data analysis processes, real-world datasets are used wherever required.

Fraud Analytics Using Descriptive Predictive And Social Network Techniques Book PDF
✏Book Title : Fraud Analytics Using Descriptive Predictive and Social Network Techniques
✏Author : Bart Baesens
✏Publisher : John Wiley & Sons
✏Release Date : 2015-08-17
✏Pages : 400
✏ISBN : 9781119133124
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Fraud Analytics Using Descriptive Predictive and Social Network Techniques Book Summary : Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post–implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti–money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.

📒Sentiment Analysis In Social Networks ✍ Federico Alberto Pozzi

Sentiment Analysis In Social Networks Book PDF
✏Book Title : Sentiment Analysis in Social Networks
✏Author : Federico Alberto Pozzi
✏Publisher : Morgan Kaufmann
✏Release Date : 2016-10-06
✏Pages : 284
✏ISBN : 9780128044384
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Sentiment Analysis in Social Networks Book Summary : The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network analysis Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network mining Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics

Introduction To Social Network Analysis With R Book PDF
✏Book Title : Introduction to Social Network Analysis with R
✏Author : Michal Bojanowski
✏Publisher : John Wiley & Sons
✏Release Date : 2016-02-26
✏Pages : 350
✏ISBN : 1118456041
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Introduction to Social Network Analysis with R Book Summary : Introduction to Social Network Analysis with R provides an introduction to performing SNA studies using R, combining the theories of social networks and methods of social network analysis with the R environment as an open source system for statistical data analysis and graphics. Short introductions to both R and the topics of SNA are included, making the book accessible to those with little or no familiarity with either domain. The topics covered and the structure of the book mimic the stages of a typical SNA research project, and include chapters devoted to data importing, network data manipulation and selection, network visualisation and methods of de­scriptive SNA. Concepts of SNA are introduced and their application demonstrated with an extensive use of empirical examples which are based on a variety of real network datasets. Introduction to Social Network Analysis with R also provides background and theoretical motivations, which include examples of important theoretical models behind the presented methods. These numerous examples and case studies reveal how R can be used as a convenient simulation platform, and are accompanied by a supporting website featuring R functions and datasets used throughout the book.

Seven Layers Of Social Media Analytics Book PDF
✏Book Title : Seven Layers of Social Media Analytics
✏Author : Gohar F. Khan
✏Publisher : Createspace Independent Publishing Platform
✏Release Date : 2015
✏Pages : 189
✏ISBN : 1507823207
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Seven Layers of Social Media Analytics Book Summary : The book offers concepts, tools, tutorials, and case studies that business managers need to extract and analyze the seven layers of social media data, including text, actions, networks, apps, hyperlinks, search engines, and location layers. Social media analytics is about converting unstructured social media data into meaningful business insights. By the end of this book, you will have mastered the concepts, techniques, and tools used to extract business insights from social media that help increase brand loyalty, generate leads, drive traffic, and ultimately make good business decisions. The book is non-technical in nature best suited for business managers, owners, consultants, students, and professors, etc. Here is how the book is structured: Chapter 1: The Seven Layers of Social Media Analytics Chapter 2: Understanding Social Media Chapter 3: Social Media Text Analytics Chapter 4: Social Media Network Analytics Chapter 5: Social Media Actions Analytics Chapter 6: Social Media Apps Analytics Chapter 7: Social Media Hyperlinks Analytics Chapter 8: Social Media Location Analytics Chapter 9: Social Media Search Engine Analytics Chapter 10: Aligning Social Media Analytics with Business Goals The book also comes with a companion site (http: //7layersanalytics.com/) which offers Updated Tutorials, Power-Point Slide, Case Studies, Sample Data, and Syllabus.

Learning Social Media Analytics With R Book PDF
✏Book Title : Learning Social Media Analytics with R
✏Author : Raghav Bali
✏Publisher : Packt Publishing Ltd
✏Release Date : 2017-05-26
✏Pages : 394
✏ISBN : 9781787125469
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Learning Social Media Analytics with R Book Summary : Tap into the realm of social media and unleash the power of analytics for data-driven insights using R About This Book A practical guide written to help leverage the power of the R eco-system to extract, process, analyze, visualize and model social media data Learn about data access, retrieval, cleaning, and curation methods for data originating from various social media platforms. Visualize and analyze data from social media platforms to understand and model complex relationships using various concepts and techniques such as Sentiment Analysis, Topic Modeling, Text Summarization, Recommendation Systems, Social Network Analysis, Classification, and Clustering. Who This Book Is For It is targeted at IT professionals, Data Scientists, Analysts, Developers, Machine Learning Enthusiasts, social media marketers and anyone with a keen interest in data, analytics, and generating insights from social data. Some background experience in R would be helpful, but not necessary, since this book is written keeping in mind, that readers can have varying levels of expertise. What You Will Learn Learn how to tap into data from diverse social media platforms using the R ecosystem Use social media data to formulate and solve real-world problems Analyze user social networks and communities using concepts from graph theory and network analysis Learn to detect opinion and sentiment, extract themes, topics, and trends from unstructured noisy text data from diverse social media channels Understand the art of representing actionable insights with effective visualizations Analyze data from major social media channels such as Twitter, Facebook, Flickr, Foursquare, Github, StackExchange, and so on Learn to leverage popular R packages such as ggplot2, topicmodels, caret, e1071, tm, wordcloud, twittR, Rfacebook, dplyr, reshape2, and many more In Detail The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how analytics can be leveraged to derive insights from it. This data can be analyzed to gain valuable insights into the behavior and engagement of users, organizations, businesses, and brands. It will help readers frame business problems and solve them using social data. The book will also cover several practical real-world use cases on social media using R and its advanced packages to utilize data science methodologies such as sentiment analysis, topic modeling, text summarization, recommendation systems, social network analysis, classification, and clustering. This will enable readers to learn different hands-on approaches to obtain data from diverse social media sources such as Twitter and Facebook. It will also show readers how to establish detailed workflows to process, visualize, and analyze data to transform social data into actionable insights. Style and approach This book follows a step-by-step approach with detailed strategies for understanding, extracting, analyzing, visualizing, and modeling data from several major social network platforms such as Facebook, Twitter, Foursquare, Flickr, Github, and StackExchange. The chapters cover several real-world use cases and leverage data science, machine learning, network analysis, and graph theory concepts along with the R ecosystem, including popular packages such as ggplot2, caret,dplyr, topicmodels, tm, and so on.

Open Source Intelligence And Cyber Crime Book PDF
✏Book Title : Open Source Intelligence and Cyber Crime
✏Author : Mohammad A. Tayebi
✏Publisher : Springer Nature
✏Release Date : 2020-09-01
✏Pages : 251
✏ISBN : 9783030412517
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Open Source Intelligence and Cyber Crime Book Summary : This book shows how open source intelligence can be a powerful tool for combating crime by linking local and global patterns to help understand how criminal activities are connected. Readers will encounter the latest advances in cutting-edge data mining, machine learning and predictive analytics combined with natural language processing and social network analysis to detect, disrupt, and neutralize cyber and physical threats. Chapters contain state-of-the-art social media analytics and open source intelligence research trends. This multidisciplinary volume will appeal to students, researchers, and professionals working in the fields of open source intelligence, cyber crime and social network analytics. Chapter Automated Text Analysis for Intelligence Purposes: A Psychological Operations Case Study is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Creating Value With Social Media Analytics Book PDF
✏Book Title : Creating Value with Social Media Analytics
✏Author : Gohar F. Khan
✏Publisher : Createspace Independent Publishing Platform
✏Release Date : 2018-04-23
✏Pages : 510
✏ISBN : 1977543979
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Creating Value with Social Media Analytics Book Summary : Often termed as the ''new gold,'' the vast amount of social media data can be employed to identify which customer behavior and actions create more value. Nevertheless, many brands find it extremely hard to define what the value of social media is and how to capture and create value with social media data.In Creating Value with Social Media Analytics, we draw on developments in social media analytics theories and tools to develop a comprehensive social media value creation framework that allows readers to define, align, capture, and sustain value through social media data. The book offers concepts, strategies, tools, tutorials, and case studies that brands need to align, extract, and analyze a variety of social media data, including text, actions, networks, multimedia, apps, hyperlinks, search engines, and location data. By the end of this book, the readers will have mastered the theories, concepts, strategies, techniques, and tools necessary to extract business value from big social media that help increase brand loyalty, generate leads, drive traffic, and ultimately make sound business decisions. Here is how the book is organized. Chapter 1: Creating Value with Social Media Analytics Chapter 2: Understanding Social Media Chapter 3: Understanding Social Media Analytics Chapter 4: Analytics-Business Alignment Chapter 5: Capturing Value with Network Analytics Chapter 6: Capturing Value with Text Analytics Chapter 7: Capturing Value with Actions Analytics Chapter 8: Capturing Value with Search Engine Analytics Chapter 9: Capturing Value with Location Analytics Chapter 10: Capturing Value with Hyperlinks Analytics Chapter 11: Capturing Value with Mobile Analytics Chapter 12: Capturing Value with Multimedia Analytics Chapter 13: Social Media Analytics CapabilitiesChapter 14: Social Media Security, Privacy, & Ethics The book has a companion site (https://analytics-book.com/), which offers useful instructor resources. Praises for the book "Gohar F. Khan has a flair for simplifying the complexity of social media analytics. Creating Value with Social Media Analytics is a beautifully delineated roadmap to creating and capturing business value through social media. It provides the theories, tools, and creates a roadmap to leveraging social media data for business intelligence purposes. Real world analytics cases and tutorials combined with a comprehensive companion site make this an excellent textbook for both graduate and undergraduate students."-Robin Saunders, Director of the Communications and Information Management Graduate Programs, Bay Path University. "Creating Value with Social Media Analytics offers a comprehensive framework to define, align, capture, and sustain business value through social media data. The book is theoretically grounded and practical, making it an excellent resource for social media analytics courses."-Haya Ajjan, Director & Associate Prof., Elon Center for Organizational Analytics, Elon University. "Gohar Khan is a pioneer in the emerging domain of social media analytics. This latest text is a must-read for business leaders, managers, and academicians, as it provides a clear and concise understanding of business value creation with social media data from a social lens."-Laeeq Khan, Director, Social Media Analytics Research Team, Ohio University. "Whether you are coming from a business, research, science or art background, Creating Value with Social Media Analytics is a brilliant induction resource for those entering the social media analytics industry. The insightful case studies and carefully crafted tutorials are the perfect supplements to help digest the key concepts introduced in each chapter."-Jared Wong, Social Media Data Analyst, Digivizer "It is one of the most comprehensive books on analytics that I have come across recently."-Bobby Swar, Prof. Concordia Uni.

Human Centered Social Media Analytics Book PDF
✏Book Title : Human Centered Social Media Analytics
✏Author : Yun Fu
✏Publisher : Springer Science & Business Media
✏Release Date : 2014-03-24
✏Pages : 208
✏ISBN : 9783319054919
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Human Centered Social Media Analytics Book Summary : This book provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data. Topics and features: includes perspectives from an international and interdisciplinary selection of pre-eminent authorities; presents balanced coverage of both detailed theoretical analysis and real-world applications; examines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications; reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities; discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation.

📒Ask Measure Learn ✍ Lutz Finger

Ask Measure Learn Book PDF
✏Book Title : Ask Measure Learn
✏Author : Lutz Finger
✏Publisher : "O'Reilly Media, Inc."
✏Release Date : 2014-01-23
✏Pages : 338
✏ISBN : 9781449336844
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Ask Measure Learn Book Summary : You can measure practically anything in the age of social media, but if you don’t know what you’re looking for, collecting mountains of data won’t yield a grain of insight. This non-technical guide shows you how to extract significant business value from big data with Ask-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results. Authors Lutz Finger and Soumitra Dutta originally devised this system to help governments and NGOs sift through volumes of data. With this book, these two experts provide business managers and analysts with a high-level overview of the Ask-Measure-Learn system, and demonstrate specific ways to apply social media analytics to marketing, sales, public relations, and customer management, using examples and case studies.

Analyzing Social Media Networks With Nodexl Book PDF
✏Book Title : Analyzing Social Media Networks with NodeXL
✏Author : Derek Hansen
✏Publisher : Morgan Kaufmann
✏Release Date : 2010-09-14
✏Pages : 304
✏ISBN : 0123822300
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Analyzing Social Media Networks with NodeXL Book Summary : Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies. Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events. Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA Demonstrates how visual analytics research can be applied to SNA tools for the mass market Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis Download companion materials and resources at https://nodexl.codeplex.com/documentation

Social Media Analytics Strategy Book PDF
✏Book Title : Social Media Analytics Strategy
✏Author : Alex Gonçalves
✏Publisher : Apress
✏Release Date : 2017-11-12
✏Pages : 306
✏ISBN : 9781484231029
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Social Media Analytics Strategy Book Summary : This book shows you how to use social media analytics to optimize your business performance. The tools discussed will prepare you to create and implement an effective digital marketing strategy. From understanding the data and its sources to detailed metrics, dashboards, and reports, this book is a robust tool for anyone seeking a tangible return on investment from social media and digital marketing. Social Media Analytics Strategy speaks to marketers who do not have a technical background and creates a bridge into the digital world. Comparable books are either too technical for marketers (aimed at software developers) or too basic and do not take strategy into account. They also lack an overview of the entire process around using analytics within a company project. They don’t go into the everyday details and also don’t touch upon common mistakes made by marketers. This book highlights patterns of common challenges experienced by marketers from entry level to directors and C-level executives. Social media analytics are explored and explained using real-world examples and interviews with experienced professionals and founders of social media analytics companies. What You’ll Learn Get a clear view of the available data for social media marketing and how to access all of it Make use of data and information behind social media networks to your favor Know the details of social media analytics tools and platforms so you can use any tool in the market Apply social media analytics to many different real-world use cases Obtain tips from interviews with professional marketers and founders of social media analytics platforms Understand where social media is heading, and what to expect in the future Who This Book Is For Marketing professionals, social media marketing specialists, analysts up to directors and C-level executives, marketing students, and teachers of social media analytics/social media marketing

Mixed Methods Social Network Analysis Book PDF
✏Book Title : Mixed Methods Social Network Analysis
✏Author : Dominik E. Froehlich
✏Publisher : Routledge
✏Release Date : 2019-12-09
✏Pages : 280
✏ISBN : 9780429557040
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Mixed Methods Social Network Analysis Book Summary : Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement, and evaluate mixed methods social network analysis (MMSNA). There is an increased recognition that social networks can be important catalysts for change and transformation. This edited book from leading experts in mixed methods and social network analysis describes how researchers can conceptualize, develop, mix, and intersect diverse approaches, concepts, and tools. In doing so, they can improve their understanding and insights into the complex change processes in social networks. Section 1 includes eight chapters that reflect on "Why should we do MMSNA?", providing a clear map of MMSNA research to date and why to consider MMSNA. In Section 2 the remaining 11 chapters are dedicated to the question "How do I do MMSNA?", illustrating how concentric circles, learning analytics, qualitative structured approaches, relational event modeling, and other approaches can empower researchers. This book shows that mixing qualitative and quantitative approaches to social network analysis can empower people to understand the complexities of change in networks and relations between people. It shows how mixed analysis can be applied to a wide range of data generated by diverse global communities: American school children, Belgian teachers, Dutch medical professionals, Finnish consultants, French school children, and Swedish right-wing social media users, amongst others. It will be of great interest to researchers and postgraduate students in education and social sciences and mixed methods scholars.

Social Media Analytics For User Behavior Modeling Book PDF
✏Book Title : Social Media Analytics for User Behavior Modeling
✏Author : Arun Reddy Nelakurthi
✏Publisher : CRC Press
✏Release Date : 2020-01-21
✏Pages : 98
✏ISBN : 9781000025361
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Social Media Analytics for User Behavior Modeling Book Summary : In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.

Social Network Analysis Book PDF
✏Book Title : Social Network Analysis
✏Author : John Scott
✏Publisher : SAGE
✏Release Date : 2000-03-25
✏Pages : 208
✏ISBN : 0761963391
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Social Network Analysis Book Summary : This edition is an accessible introduction to the theory and practice of network analysis in the social sciences. Scott outlines the theoretical basis of network analysis and the key techniques for using it as a research tool.

Harnessing The Power Of Social Media And Web Analytics Book PDF
✏Book Title : Harnessing the Power of Social Media and Web Analytics
✏Author : Ayanso, Anteneh
✏Publisher : IGI Global
✏Release Date : 2014-02-28
✏Pages : 305
✏ISBN : 9781466651951
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Harnessing the Power of Social Media and Web Analytics Book Summary : Social media has opened several new marketing channels to assist in business visibility as well as provide real-time customer feedback. With the emergence of new internet technologies, businesses are increasingly recognizing the value of social media and web presence in the promotion of their products and services. Harnessing the Power of Social Media and Web Analytics documents high-quality research to empower businesses to derive intelligence from social media sites. These emerging technological tools have allowed businesses to quantify, understand, and respond to customers’ conversations about their corporate reputation and brands within online communities. This publication is ideal for academic and professional audiences interested in applications and practices of social media and web analytics in various industries.

Social Network Analysis Using R  Book PDF
✏Book Title : Social Network Analysis Using R
✏Author :
✏Publisher :
✏Release Date : 2017
✏Pages :
✏ISBN : OCLC:1115949387
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Social Network Analysis Using R Book Summary : Examine the relationships and trends among social networks in new and exciting ways. Learn how to perform social network analysis with R.

Reshaping Society Through Analytics Collaboration And Decision Support Book PDF
✏Book Title : Reshaping Society through Analytics Collaboration and Decision Support
✏Author : Lakshmi S. Iyer
✏Publisher : Springer
✏Release Date : 2014-12-04
✏Pages : 269
✏ISBN : 9783319115757
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Reshaping Society through Analytics Collaboration and Decision Support Book Summary : This volume explores emerging research and pedagogy in analytics, collaboration, and decision support with an emphasis on business intelligence and social media. In general, the chapters help understand where technology involvement in human decisions is headed. Reading the chapters can help understand the opportunities and threats associated with the use of information technology in decision making. Computing and information technologies are reshaping our global society, but they can potentially reshape it in negative as well as positive ways. Analytics, collaboration and computerized decision support are powerful decision aiding and decision making tools that have enormous potential to impact crisis decision making, regulation of financial systems, healthcare decision making and many more important decision domains. Many information technologies can potentially support, assist and even decide for human decision makers. Despite the potential, some researchers think that we know the answers to how these technologies will change society. The "Wisdom of Crowds" or "Big Data" become the topic of the day and are soon replaced with new marketing terms. In many ways, mobile technology is just another form factor to adapt decision support capabilities too and experiment with new capabilities. The cloud is a nebulous metaphor that adds to the mystery of information technology. Wireless technology enables the ubiquitous presence of analytics and decision support. With new networking capabilities, collaboration is possible anywhere and everywhere using voice, video and text. Documents can be widely shared and massive numbers of documents can be carried on a small tablet computer. Recent developments in technologies impact the processes organizations use to make decisions. In addition, academics are looking for ways to enhance their pedagogy to train students to be more adept in understanding how emerging technology will be used effectively for decision making in organizations. The chapters are based on papers originally reviewed at the Special Interest Group on Decision Support Systems (SIGDSS) Workshop at the 2013 International Conference on Information Systems (ICIS 2013). Ultimately this volume endeavors to find a balance between systematizing what we know, so we can teach our findings from prior research better, and stimulating excitement to move the field in new directions.

Social Network Analysis Using R  Book PDF
✏Book Title : Social Network Analysis Using R
✏Author : Curt Frye
✏Publisher :
✏Release Date : 2017
✏Pages :
✏ISBN : OCLC:1125771083
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Social Network Analysis Using R Book Summary :

Applied Social Network Analysis With R Emerging Research And Opportunities Book PDF
✏Book Title : Applied Social Network Analysis With R Emerging Research and Opportunities
✏Author : Gençer, Mehmet
✏Publisher : IGI Global
✏Release Date : 2020-02-07
✏Pages : 284
✏ISBN : 9781799819141
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Applied Social Network Analysis With R Emerging Research and Opportunities Book Summary : Understanding the social relations within the fields of business and economics is vital for the promotion of success within a certain organization. Analytics and statistics have taken a prominent role in marketing and management practices as professionals are constantly searching for a competitive advantage. Converging these technological tools with traditional methods of business relations is a trending area of research. Applied Social Network Analysis With R: Emerging Research and Opportunities is an essential reference source that materializes and analyzes the issue of structure in terms of its effects on human societies and the state of the individuals in these communities. Even though the theme of the book is business-oriented, an approach underlining and strengthening the ties of this field of study with social sciences for further development is adopted throughout. Therefore, the knowledge presented is valid for analyzing not only the organization of the business world but also for the organization of any given community. Featuring research on topics such as network visualization, graph theory, and micro-dynamics, this book is ideally designed for researchers, practitioners, business professionals, managers, programmers, academicians, and students seeking coverage on analyzing social and business networks using modern methods of statistics, programming, and data sets.

Analytics In A Big Data World Book PDF
✏Book Title : Analytics in a Big Data World
✏Author : Bart Baesens
✏Publisher : John Wiley & Sons
✏Release Date : 2014-04-15
✏Pages : 256
✏ISBN : 9781118892749
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Analytics in a Big Data World Book Summary : The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

📒Social Media Marketing ✍ Ajit V. Jaokar

Social Media Marketing Book PDF
✏Book Title : Social Media Marketing
✏Author : Ajit V. Jaokar
✏Publisher : Futuretext
✏Release Date : 2009-02
✏Pages : 220
✏ISBN : 0955606977
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Social Media Marketing Book Summary : Providing an understanding of the world of social media from the perspective of the Web, this resource presents case studies from enterprises that have successfully used the social media marketing approach.

📒Social Media Revenue ✍ Laurel Papworth

Social Media Revenue Book PDF
✏Book Title : Social Media Revenue
✏Author : Laurel Papworth
✏Publisher : Lulu.com
✏Release Date :
✏Pages :
✏ISBN : 9780987127303
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Social Media Revenue Book Summary :

Data Mining In Dynamic Social Networks And Fuzzy Systems Book PDF
✏Book Title : Data Mining in Dynamic Social Networks and Fuzzy Systems
✏Author : Bhatnagar, Vishal
✏Publisher : IGI Global
✏Release Date : 2013-06-30
✏Pages : 412
✏ISBN : 9781466642140
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Data Mining in Dynamic Social Networks and Fuzzy Systems Book Summary : Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.

Social Media Analytics Effective Tools For Building Interpreting And Using Metrics Book PDF
✏Book Title : Social Media Analytics Effective Tools for Building Interpreting and Using Metrics
✏Author : Marshall Sponder
✏Publisher : McGraw Hill Professional
✏Release Date : 2011-07-19
✏Pages : 320
✏ISBN : 9780071768290
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Social Media Analytics Effective Tools for Building Interpreting and Using Metrics Book Summary : Align Strategy With Metrics Using Social Monitoring Best Practices “Two or three years from now, every public relations firm that wants to be taken seriously in the C-suite and/or a lead marketing role will have someone like Marshall in its senior leadership ranks, a chief analytics officer responsible for ensuring that account leaders think more deeply about analytics and that thfirm works with the best available outside suppliers to integrate analytics appropriately.” —Paul Holmes, The Holmes Report “Marshall has provided much-needed discipline to our newest marketing frontier—a territory full of outlaws, medicine men, dot com tumbleweeds, and snake oil.” —Ryan Rasmussen, VP Research, Zócalo Group “Marshall Sponder stands apart from the crowd with this work. His case study approach, borne of real-world experience, provides the expert and the amateur alike with bibliography, tools, links, and examples to shortcut the path to bedrock successes. This is a reference work for anyone who wants to explore the potential of social networks.” —W. Reid Cornwell, Ph.D., Chief Scientist, The Center for Internet Research “Marshall is a solutions design genius of unparalleled knowledge and acumen, and when he applies himself to the business of social media, the result is a timely and important commentary on the state of research capabilities for social media.” —Barry Fleming, Director, Analytics & Insights, WCG, and Principal, DharmaBuilt.com About the Book Practically overnight, social media has become a critical tool for every marketing objective—from outreach and customer relations to branding and crisis management. For the most part, however, the data collected through social media is just that: data. It usually seems to hold little or no meaning on which to base business decisions. But the meaning is there . . . if you’re applying the right systems and know how to use them. With Social Media Analytics, you’ll learn how to get supremely valuable information from this revolutionary new marketing tool. One of the most respected leaders in his field and a pioneer in Web analytics, Marshall Sponder shows how to: Choose the best social media platforms for your needs Set up the right processes to achieve your goals Extract the hidden meaning from all the data you collect Quantify your results and determine ROI Filled with in-depth case studies from a range of industries, along with detailed reviews of several social-monitoring platforms, Social Media Analytics takes you beyond “up-to-date” and leads you well into the future—and far ahead of your competition. You will learn how to use the most sophisticated methods yet known to find customers, create relevant content (and track it), mash up data from disparate sources, and much more. Sponder concludes with an insightful look at where the field will likely be going during the next few years. Whether your social media marketing efforts are directed at B2B, B2C, C2C, nonprofit, corporate, or public sector aims, take them to the next step with the techniques, strategies, and methods in Social Media Analytics—the most in-depth, forward-looking book on the subject.