Social Network Data Analytics

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  • Author : Charu C. Aggarwal
  • Publisher : Springer Science & Business Media
  • Pages : 502 pages
  • ISBN : 1441984623
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Social Network Data Analytics

Download or Read online Social Network Data Analytics full in PDF, ePub and kindle. this book written by Charu C. Aggarwal and published by Springer Science & Business Media which was released on 18 March 2011 with total page 502 pages. We cannot guarantee that Social Network Data Analytics book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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.

Social Network Data Analytics

Social Network Data Analytics
  • Author : Charu C. Aggarwal
  • Publisher : Springer Science & Business Media
  • Release : 18 March 2011
GET THIS BOOK Social Network Data Analytics

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

Learning Social Media Analytics with R

Learning Social Media Analytics with R
  • Author : Raghav Bali,Dipanjan Sarkar,Tushar Sharma
  • Publisher : Packt Publishing Ltd
  • Release : 26 May 2017
GET THIS BOOK Learning Social Media Analytics with R

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

Social Network Analytics

Social Network Analytics
  • Author : Nilanjan Dey,Samarjeet Borah,Rosalina Babo,Amira S. Ashour
  • Publisher : Academic Press
  • Release : 16 November 2018
GET THIS BOOK Social Network Analytics

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,

Mixed Methods Social Network Analysis

Mixed Methods Social Network Analysis
  • Author : Dominik E. Froehlich,Martin Rehm,Bart C. Rienties
  • Publisher : Routledge
  • Release : 09 December 2019
GET THIS BOOK Mixed Methods Social Network Analysis

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

Big Data and Social Media Analytics

Big Data and Social Media Analytics
  • Author : Mehmet Çakırtaş,Mehmet Kemal Ozdemir
  • Publisher : Springer
  • Release : 15 July 2021
GET THIS BOOK Big Data and Social Media Analytics

This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivariate data, social media surveillance to enhance search and rescue missions, recommenders for collaborative filtering and safe travel plans to high risk destinations, analysis of cyber influence campaigns on YouTube, impact of location on business rating, bibliographical and

Fraud Analytics Using Descriptive Predictive and Social Network Techniques

Fraud Analytics Using Descriptive  Predictive  and Social Network Techniques
  • Author : Bart Baesens,Wouter Verbeke,Veronique Van Vlasselaer
  • Publisher : John Wiley & Sons
  • Release : 17 August 2015
GET THIS BOOK Fraud Analytics Using Descriptive Predictive and Social Network Techniques

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,

Social Network Analysis in Telecommunications

Social Network Analysis in Telecommunications
  • Author : Carlos Andre Reis Pinheiro
  • Publisher : John Wiley & Sons
  • Release : 09 May 2011
GET THIS BOOK Social Network Analysis in Telecommunications

A timely look at effective use of social network analysis within the telecommunications industry to boost customer relationships The key to any successful company is the relationship that it builds with its customers. This book shows how social network analysis, analytics, and marketing knowledge can be combined to create a positive customer experience within the telecommunications industry. Reveals how telecommunications companies can effectively enhance their relationships with customers Provides the groundwork for defining social network analysis Defines the tools that

Social Network Analysis Applied to Team Sports Analysis

Social Network Analysis Applied to Team Sports Analysis
  • Author : Filipe Manuel Clemente,Fernando Manuel Lourenço Martins,Rui Sousa Mendes
  • Publisher : Springer
  • Release : 16 November 2015
GET THIS BOOK Social Network Analysis Applied to Team Sports Analysis

Explaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches, models and methods that can be used to characterise the overall properties of team networks and identify the prominence of each team player. Exploring the different possible network metrics that can be utilised in sports analysis, their possible applications and variances from situation to situation, the respective chapters present an array of illustrative case studies. Identifying the general concepts of

Analyzing Social Media Networks with NodeXL

Analyzing Social Media Networks with NodeXL
  • Author : Derek Hansen,Ben Shneiderman,Marc A. Smith,Itai Himelboim
  • Publisher : Morgan Kaufmann
  • Release : 08 May 2019
GET THIS BOOK Analyzing Social Media Networks with NodeXL

Analyzing Social Media Networks with NodeXL: Insights from a Connected World, Second Edition, provides readers with a thorough, practical and updated guide to NodeXL, the open-source social network analysis (SNA) plug-in for use with Excel. The book analyzes social media, provides a NodeXL tutorial, and presents network analysis case studies, all of which are revised to reflect the latest developments. Sections cover history and concepts, mapping and modeling, the detailed operation of NodeXL, and case studies, including e-mail, Twitter, Facebook,

Sentiment Analysis in Social Networks

Sentiment Analysis in Social Networks
  • Author : Federico Pozzi,Elisabetta Fersini,Bing Liu,Enza Messina
  • Publisher : Morgan Kaufmann Publishers
  • Release : 01 October 2016
GET THIS BOOK Sentiment Analysis in Social Networks

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

Big Data Analytics

Big Data Analytics
  • Author : Mrutyunjaya Panda,Ajith Abraham,Aboul Ella Hassanien
  • Publisher : CRC Press
  • Release : 12 December 2018
GET THIS BOOK Big Data Analytics

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

Data Mining for Social Network Data

Data Mining for Social Network Data
  • Author : Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen
  • Publisher : Springer
  • Release : 09 July 2010
GET THIS BOOK Data Mining for Social Network Data

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well. It will also

Creating Value with Social Media Analytics

Creating Value with Social Media Analytics
  • Author : Gohar F. Khan
  • Publisher : Createspace Independent Publishing Platform
  • Release : 23 April 2018
GET THIS BOOK Creating Value with Social Media Analytics

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

Social Networks Social Network Analysis in Companies

Social Networks   Social Network Analysis in Companies
  • Author : Markus Hoffmann
  • Publisher : GRIN Verlag
  • Release : 01 September 2013
GET THIS BOOK Social Networks Social Network Analysis in Companies

Seminar paper from the year 2011 in the subject Business economics - Marketing, Corporate Communication, CRM, Market Research, Social Media, grade: -, Management Center Innsbruck, language: English, abstract: This term paper is about Social Networks, Social Network Analysis, as well as its use in marketing and its history. Chapter 2 "The Internal Power of Social Networks" is about the question of what a Social Network is and about the History of Social Network Analysis. It also examines social networks in companies, the

Open Source Intelligence and Cyber Crime

Open Source Intelligence and Cyber Crime
  • Author : Mohammad A. Tayebi,Uwe Glässer,David B. Skillicorn
  • Publisher : Springer Nature
  • Release : 01 September 2020
GET THIS BOOK Open Source Intelligence and Cyber Crime

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