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Challenges in Social Network Research

Methods and Applications

  • Giancarlo Ragozini
  • Maria Prosperina Vitale
Book

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

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Methods

    1. Front Matter
      Pages 33-33
    2. Iain Cruickshank, Kathleen M. Carley
      Pages 35-48
    3. Giuseppe Giordano, Mario De Santis, Sergio Pagano, Giancarlo Ragozini, Maria Prosperina Vitale, Pierpaolo Cavallo
      Pages 63-78
  3. Applications

    1. Front Matter
      Pages 131-131
    2. Juan Manuel Aguirre-López, Julio Díaz-José, Petra Chaloupková, Francisco Guevara-Hernández
      Pages 133-148
    3. Margherita Russo, Annalisa Caloffi, Riccardo Righi, Simone Righi, Federica Rossi
      Pages 193-208
    4. Andrea Salvini, Antonietta Riccardo, Francesco Vasca, Irene Psaroudakis
      Pages 209-233
  4. Back Matter
    Pages 235-239

About this book

Introduction

The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis. Along with the new methodological developments, the book offers interesting applications to a wide set of fields, ranging from the organizational and economic studies, collaboration and innovation, to the less usual field of poetry. In addition, the case studies are related to local context, showing how the substantive reasoning is fundamental in social network analysis. The list of authors includes both top scholars in the field of social networks and promising young researchers. All chapters passed a double blind review process followed by the guest editors. This edited volume will appeal to students, researchers and professionals.


Keywords

Social Network Analysis Statistical Methods Multilevel Networks multilevel network analysis information propagation user behavior modeling vulnerability assessment

Editors and affiliations

  • Giancarlo Ragozini
    • 1
  • Maria Prosperina Vitale
    • 2
  1. 1.Department of Political ScienceUniversity of Naples Federico IINaplesItaly
  2. 2.Department of Political and Social StudiesUniversity of SalernoFisciano (SA)Italy

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-31463-7
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-31462-0
  • Online ISBN 978-3-030-31463-7
  • Series Print ISSN 2190-5428
  • Series Online ISSN 2190-5436
  • Buy this book on publisher's site