Advertisement

Network Intelligence Meets User Centered Social Media Networks

  • Reda Alhajj
  • H. Ulrich Hoppe
  • Tobias Hecking
  • Piotr Bródka
  • Przemyslaw Kazienko

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

Table of contents

  1. Front Matter
    Pages i-vi
  2. Centrality and Influence

    1. Front Matter
      Pages 1-1
    2. Christine Marshall, Colm O’Riordan, James Cruickshank
      Pages 3-16
    3. Mareike Bockholt, Katharina A. Zweig
      Pages 17-33
  3. Knowledge and Information Diffusion

    1. Front Matter
      Pages 47-47
    2. Benjamin Cabrera, Barbara König
      Pages 65-81
    3. Tobias Hecking, Laura Steinert, Simon Leßmann, Víctor H. Masías, H. Ulrich Hoppe
      Pages 83-93
  4. Algorithms and Applications I

    1. Front Matter
      Pages 95-95
    2. Ziyaad Qasem, Tobias Hecking, Benjamin Cabrera, Marc Jansen, H. Ulrich Hoppe
      Pages 119-132
    3. Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Przemyslaw Kazienko
      Pages 133-142
  5. Algorithms and Applications II

    1. Front Matter
      Pages 153-153
    2. Mauricio A. Valle, Gonzalo A. Ruz, Rodrigo Morrás
      Pages 155-167
    3. Gabriel Barina, Calin Sicoe, Mihai Udrescu, Mircea Vladutiu
      Pages 169-185
    4. Nicolás Emilio Díaz Ferreyra, Rene Meis, Maritta Heisel
      Pages 187-197
  6. Content Analysis

    1. Front Matter
      Pages 199-199
    2. Jennifer Fromm, Stefanie Melzer, Björn Ross, Stefan Stieglitz
      Pages 201-217
    3. Rajmund Klemiński, Przemyslaw Kazienko
      Pages 231-241
  7. Back Matter
    Pages 243-247

About this book

Introduction

This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field.  The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.  

Keywords

distributed networks interconnected systems interrelated data open source software development social media analysis network analysis literacy online social networking graph analysis European Network Intelligence Conference ENIC 2017 Machine learning applications machine learning for social network data mining and social network analysis graph model for social networks Social intelligence patterns in online social communities Twitter communication in US primaries

Editors and affiliations

  • Reda Alhajj
    • 1
  • H. Ulrich Hoppe
    • 2
  • Tobias Hecking
    • 3
  • Piotr Bródka
    • 4
  • Przemyslaw Kazienko
    • 5
  1. 1.Department of Computer ScienceUniversity of CalgaryCalgaryCanada
  2. 2.Department of Computer Science and Applied Cognitive ScienceUniversity of Duisburg-EssenDuisburgGermany
  3. 3.Computer Science and Applied Cognitive ScienceUniversity of Duisburg-EssenDuisburgGermany
  4. 4.Department of Computational Intelligence The Engine Centre, Faculty of Computer Science and ManagementWroclaw University of Science and TechnologyWroclawPoland
  5. 5.Faculty of Computer Science and Management The Engine CentreWroclaw University of Science and TechnologyWroclawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-90312-5
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Social Sciences
  • Print ISBN 978-3-319-90311-8
  • Online ISBN 978-3-319-90312-5
  • Series Print ISSN 2190-5428
  • Series Online ISSN 2190-5436
  • Buy this book on publisher's site