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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

  • Nitin Agarwal
  • Nima Dokoohaki
  • Serpil Tokdemir

Part of the Lecture Notes in Social Networks book series (LNSN)

Table of contents

  1. Front Matter
    Pages i-x
  2. Emerging Social Issues

    1. Front Matter
      Pages 1-1
    2. Matthew C. Benigni, Kenneth Joseph, Kathleen M. Carley
      Pages 19-42
    3. Kai Shu, H. Russell Bernard, Huan Liu
      Pages 43-65
    4. Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Budak Arpinar
      Pages 67-104
  3. Fundamental Research Problems

    1. Front Matter
      Pages 105-105
    2. Izzat Alsmadi, Mohammad Al-Abdullah
      Pages 131-152
    3. Mohsen Shahriari, Ralf Klamma, Matthias Jarke
      Pages 153-208
    4. Shatha Jaradat, Mihhail Matskin
      Pages 209-230
  4. Broader Challenges and Impacts

    1. Front Matter
      Pages 231-231
    2. Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Amit Sheth
      Pages 233-246
  5. Back Matter
    Pages 269-278

About this book

Introduction

The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. 

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.


Keywords

Visualizing Hierarchy in Multivariate Data Network Approach to Framing Processes Geographical Topics from Social Media Structured Data Detection interpreting Big Social Data

Editors and affiliations

  • Nitin Agarwal
    • 1
  • Nima Dokoohaki
    • 2
  • Serpil Tokdemir
    • 3
  1. 1.Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) Information Science DepartmentUniversity of Arkansas at Little RockLittle RockUSA
  2. 2.Intellectera ABStockholmSweden
  3. 3.Collaboratorium for Social Media and Online Behavioral Studies (COSMOS)University of Arkansas at Little RockLittle RockUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-94105-9
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Social Sciences
  • Print ISBN 978-3-319-94104-2
  • Online ISBN 978-3-319-94105-9
  • Series Print ISSN 2190-5428
  • Series Online ISSN 2190-5436
  • Buy this book on publisher's site
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