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, 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

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  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Pages : 267 pages
  • ISBN : 0128156414
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKSocial Network Analytics

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 BOOKSocial 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,

Social Network Data Analytics

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

Big Data Analytics

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

Social Network Analysis for Startups

Social Network Analysis for Startups
  • Author : Maksim Tsvetovat,Alexander Kouznetsov
  • Publisher : "O'Reilly Media, Inc."
  • Release : 06 October 2011
GET THIS BOOKSocial Network Analysis for Startups

SNA techniques are derived from sociological and social-psychological theories and take into account the whole network (or, in case of very large networks such as Twitter -- a large segment of the network). Thus, we may arrive at results that may seem counter-intuitive -- e.g. that Jusin Bieber (7.5 mil. followers) and Lady Gaga (7.2 mil. followers) have relatively little actual influence despite their celebrity status -- while a middle-of-the-road blogger with 30K followers is able to generate tweets that "go

Social Network Analysis

Social Network Analysis
  • Author : Song Yang,Franziska B. Keller,Lu Zheng
  • Publisher : SAGE Publications
  • Release : 28 October 2016
GET THIS BOOKSocial Network Analysis

Social Network Analysis: Methods and Examples by Song Yang, Franziska B. Keller, and Lu Zheng prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields. This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide

Social Network Analysis

Social Network Analysis
  • Author : Stanley Wasserman,Stanley (University of Illinois Wasserman, Urbana-Champaign),Katherine Faust
  • Publisher : Cambridge University Press
  • Release : 25 November 1994
GET THIS BOOKSocial Network Analysis

Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples.

Social Network Analytics for Contemporary Business Organizations

Social Network Analytics for Contemporary Business Organizations
  • Author : Bansal, Himani,Shrivastava, Gulshan,Nguyen, Gia Nhu,Stanciu, Loredana-Mihaela
  • Publisher : IGI Global
  • Release : 23 March 2018
GET THIS BOOKSocial Network Analytics for Contemporary Business Organizations

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

State of the Art Applications of Social Network Analysis

State of the Art Applications of Social Network Analysis
  • Author : Fazli Can,Tansel Özyer,Faruk Polat
  • Publisher : Springer
  • Release : 14 May 2014
GET THIS BOOKState of the Art Applications of Social Network Analysis

Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique

Sentiment Analysis in Social Networks

Sentiment Analysis in Social Networks
  • Author : Federico Alberto Pozzi,Elisabetta Fersini,Enza Messina,Bing Liu
  • Publisher : Morgan Kaufmann
  • Release : 06 October 2016
GET THIS BOOKSentiment 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

Graph-Based Social Media Analysis

Graph-Based Social Media Analysis
  • Author : Ioannis Pitas
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOKGraph-Based Social Media Analysis

Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal processing. Supplying an overview of graph-based social media analysis, the book provides readers with a clear understanding of social media

Social Network Based Big Data Analysis and Applications

Social Network Based Big Data Analysis and Applications
  • Author : Mehmet Kaya,Jalal Kawash,Suheil Khoury,Min-Yuh Day
  • Publisher : Springer
  • Release : 10 May 2018
GET THIS BOOKSocial Network Based Big Data Analysis and Applications

This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and

Computational Social Network Analysis

Computational Social Network Analysis
  • Author : Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel
  • Publisher : Springer Science & Business Media
  • Release : 10 December 2009
GET THIS BOOKComputational Social Network Analysis

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present

Analyzing Social Media Networks with NodeXL

Analyzing Social Media Networks with NodeXL
  • Author : Derek Hansen,Ben Shneiderman,Marc A. Smith
  • Publisher : Morgan Kaufmann
  • Release : 14 September 2010
GET THIS BOOKAnalyzing Social Media Networks with NodeXL

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

Applied Social Network Analysis With R: Emerging Research and Opportunities

Applied Social Network Analysis With R: Emerging Research and Opportunities
  • Author : Gençer, Mehmet
  • Publisher : IGI Global
  • Release : 07 February 2020
GET THIS BOOKApplied Social Network Analysis With R: Emerging Research and Opportunities

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