Social Network Analytics Book

Social Network Analytics


  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2019-01-15
  • Genre: Computers
  • Pages : 220
  • ISBN 10 : 0128154586

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Social Network Analytics Excerpt :

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. The analysis of social network data involves, basically, mapping and measuring the relationships and flows between people, groups, organizations, computers, URLs, and other connected information and knowledge entities. It is a difficult task due to availability of huge amounts of data along with very complex structures. Social Network Analytics 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, the book includes a variety of applications from several domains, such as scientific research, business, and industrial. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, big data analytics of social networks, multidimensional scaling, and more! Examines a variety of data analytic techniques 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 Analysis Book

Social Network Analysis


  • Author : Song Yang
  • Publisher : SAGE Publications
  • Release Date : 2016-10-28
  • Genre: Social Science
  • Pages : 248
  • ISBN 10 : 9781506362120

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Social Network Analysis Excerpt :

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 examples from politics, work and organizations, mental and physical health, and crime and terrorism studies.

Social Network Analytics for Contemporary Business Organizations Book

Social Network Analytics for Contemporary Business Organizations


  • Author : Bansal, Himani
  • Publisher : IGI Global
  • Release Date : 2018-03-23
  • Genre: Business & Economics
  • Pages : 321
  • ISBN 10 : 9781522550983

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Social Network Analytics for Contemporary Business Organizations Excerpt :

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.

Social Network Data Analytics Book

Social Network Data Analytics


  • Author : Charu C. Aggarwal
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-03-18
  • Genre: Computers
  • Pages : 502
  • ISBN 10 : 9781441984623

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Social Network Data Analytics Excerpt :

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 Analysis Book
Score: 4
From 12 Ratings

Social Network Analysis


  • Author : Stanley Wasserman
  • Publisher : Cambridge University Press
  • Release Date : 1994-11-25
  • Genre: Social Science
  • Pages : 825
  • ISBN 10 : 0521387078

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Social Network Analysis Excerpt :

Covers methods for the analysis of social networks and applies them to examples.

Big Data Analytics Book

Big Data Analytics


  • Author : Mrutyunjaya Panda
  • Publisher : CRC Press
  • Release Date : 2018-12-12
  • Genre: Business & Economics
  • Pages : 316
  • ISBN 10 : 9781351622585

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Big Data Analytics Excerpt :

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 ofbig 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.

Applied Social Network Analysis With R  Emerging Research and Opportunities Book

Applied Social Network Analysis With R Emerging Research and Opportunities


  • Author : Gençer, Mehmet
  • Publisher : IGI Global
  • Release Date : 2020-02-07
  • Genre: Computers
  • Pages : 284
  • ISBN 10 : 9781799819141

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Applied Social Network Analysis With R Emerging Research and Opportunities Excerpt :

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.

Social Network Analysis Book

Social Network Analysis


  • Author : John Scott
  • Publisher : SAGE
  • Release Date : 2000-01-26
  • Genre: Social Science
  • Pages : 224
  • ISBN 10 : 9781446236161

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Social Network Analysis Excerpt :

The revised and updated edition of this bestselling text provides an accessible introduction to the theory and practice of network analysis in the social sciences. It gives a clear and authoritative guide to the general framework of network analysis, explaining the basic concepts, technical measures and reviewing the available computer programs. The book outlines both the theoretical basis of network analysis and the key techniques for using it as a research tool. Building upon definitions of points, lines and paths, John Scott demonstrates their use in clarifying such measures as density, fragmentation and centralization. He identifies the various cliques, components and circles into which networks are formed, and outlines an approach to the study of socially structured positions. He also discusses the use of multidimensional methods for investigating social networks. Social Network Analysis is an invaluable resource for researchers across the social sciences and for students of social theory and research methods.

Sentiment Analysis in Social Networks Book

Sentiment Analysis in Social Networks


  • Author : Federico Alberto Pozzi
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-10-06
  • Genre: Computers
  • Pages : 284
  • ISBN 10 : 9780128044384

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Sentiment Analysis in Social Networks Excerpt :

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

Models and Methods in Social Network Analysis Book

Models and Methods in Social Network Analysis


  • Author : Peter J. Carrington
  • Publisher : Unknown
  • Release Date : 2005-02-07
  • Genre: Psychology
  • Pages : 328
  • ISBN 10 : 0521809592

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Models and Methods in Social Network Analysis Excerpt :

Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Social Network Analysis for Startups Book
Score: 4
From 1 Ratings

Social Network Analysis for Startups


  • Author : Maksim Tsvetovat
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2011-10-06
  • Genre: Computers
  • Pages : 190
  • ISBN 10 : 9781449306465

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Social Network Analysis for Startups Excerpt :

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 viral" and result in millions of impressions. O'Reilly's "Mining Social Media" and "Programming Collective Intelligence" books are an excellent start for people inteseted in SNA. This book builds on these books' foundations to teach a new, pragmatic, way of doing SNA. I would like to write a book that links theory ("why is this important?", "how do various concepts interact?", "how do I interpret quantitative results?") and practice -- gathering, analyzing and visualizing data using Python and other open-source tools.

Knowledge Solutions Book

Knowledge Solutions


  • Author : Olivier Serrat
  • Publisher : Springer
  • Release Date : 2017-05-22
  • Genre: Business & Economics
  • Pages : 1140
  • ISBN 10 : 9789811009839

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Knowledge Solutions Excerpt :

This book is open access under a CC BY-NC 3.0 IGO license. This book comprehensively covers topics in knowledge management and competence in strategy development, management techniques, collaboration mechanisms, knowledge sharing and learning, as well as knowledge capture and storage. Presented in accessible “chunks,” it includes more than 120 topics that are essential to high-performance organizations. The extensive use of quotes by respected experts juxtaposed with relevant research to counterpoint or lend weight to key concepts; “cheat sheets” that simplify access and reference to individual articles; as well as the grouping of many of these topics under recurrent themes make this book unique. In addition, it provides scalable tried-and-tested tools, method and approaches for improved organizational effectiveness. The research included is particularly useful to knowledge workers engaged in executive leadership; research, analysis and advice; and corporate management and administration. It is a valuable resource for those working in the public, private and third sectors, both in industrialized and developing countries.

Analyzing Social Media Networks with NodeXL Book

Analyzing Social Media Networks with NodeXL


  • Author : Derek Hansen
  • Publisher : Morgan Kaufmann
  • Release Date : 2010-09-14
  • Genre: Computers
  • Pages : 304
  • ISBN 10 : 0123822300

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Analyzing Social Media Networks with NodeXL Excerpt :

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 Networks  Analysis and Case Studies Book

Social Networks Analysis and Case Studies


  • Author : Şule Gündüz-Öğüdücü
  • Publisher : Springer
  • Release Date : 2014-07-11
  • Genre: Computers
  • Pages : 249
  • ISBN 10 : 9783709117972

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Social Networks Analysis and Case Studies Excerpt :

The present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health. With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many opportunities in different application domains. Forming a bridge between theory and applications makes this work appealing to both academics and practitioners as well as graduate students.

Exploratory Social Network Analysis with Pajek Book
Score: 4.5
From 3 Ratings

Exploratory Social Network Analysis with Pajek


  • Author : Wouter de Nooy
  • Publisher : Cambridge University Press
  • Release Date : 2005-01-10
  • Genre: Social Science
  • Pages : 334
  • ISBN 10 : 0521841739

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Exploratory Social Network Analysis with Pajek Excerpt :

This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis. The book introduces the main concepts and their applications in social research with exercises. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section.