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Social Networks Analysis and Mining

16th International Conference, ASONAM 2024, Rende, Italy, September 2–5, 2024, Proceedings, Part I

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Luca Maria Aiello

    1. IT University of Copenhagen, Copenhagen, Denmark

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  2. Tanmoy Chakraborty

    1. Indian Institute of Technology Delhi, New Delhi, India

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  3. Sabrina Gaito

    1. Università degli Studi di Milano, Milan, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15211)

Included in the following conference series:

Conference proceedings info: ASONAM 2024.

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About this book

This LNCS conference 4-volume set constitutes the proceedings of the 16th International Conference on Social Networks Analysis and Mining, ASONAM 2024, in Rende, Italy, during September 2–5, 2024. The 33 full papers together with 36 short papers included in this volume were carefully reviewed and selected from 167 submissions.

The conference covers a wide spectrum of research contributions to the foundations and applications of social networks.

Keywords

Table of contents (30 papers)

  1. Front Matter

    Pages i-xvi
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  2. Research

    1. Front Matter

      Pages 1-1
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    2. Scalable High-Performance Community Detection Using Label Propagation in Massive Networks

      • Sharon Boddu, Maleq Khan
      Pages 3-19

    3. EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks

      • Soheila Farokhi, Arash Azizian Foumani, Xiaojun Qi, Tyler Derr, Hamid Karimi
      Pages 20-39

    4. Beyond Boundaries: Capturing Social Segregation on Hypernetworks

      • Andrea Failla, Giulio Rossetti, Francesco Cauteruccio
      Pages 40-55

    5. Burstiness in Emotions: A Case Study on Collective Affective Responses in Italian Soccer Fandoms

      • Salvatore Citraro, Giovanni Mauro, Emanuele Ferragina
      Pages 56-69

    6. Exploring Crisis-Driven Social Media Patterns: A Twitter Dataset of Usage During the Russo-Ukrainian War

      • Ioannis Lamprou, Alexander Shevtsov, Despoina Antonakaki, Polyvios Pratikakis, Sotiris Ioannidis
      Pages 70-85

    7. PARALLAX: Leveraging Polarization Knowledge for Misinformation Detection

      • Demetris Paschalides, George Pallis, Marios D. Dikaiakos
      Pages 86-105

    8. Dynamic Inter-organizational Communication Network in a Post-merger Integration

      • Michael Benzinger, Raji Ghawi, Lukas Zenk, Jürgen Pfeffer
      Pages 106-123

    9. Analyzing X’s Web of Influence: Dissecting News Sharing Dynamics Through Credibility and Popularity with Transfer Entropy and Multiplex Network Measures

      • Sina Abdidizaji, Alexander Baekey, Chathura Jayalath, Alexander Mantzaris, Ozlem Ozmen Garibay, Ivan Garibay
      Pages 124-138

    10. FairNet: A Genetic Framework to Reduce Marginalization in Social Networks

      • Federico Mazzoni, Andrea Failla, Giulio Rossetti
      Pages 139-154

    11. Agent-Based Modelling Meets Generative AI in Social Network Simulations

      • Antonino Ferraro, Antonio Galli, Valerio La Gatta, Marco Postiglione, Gian Marco Orlando, Diego Russo et al.
      Pages 155-170

    12. DeepFairRank: A Multi-objective Framework for Fair Top-k Node Ranking in Network Data

      • Francisco Santos, Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian
      Pages 171-187

    13. RUMs with Ties: A Discrete Choice Model Allowing Multiple Winners

      • Flavio Chierichetti, Ravi Kumar, Giuseppe Re, Andrew Tomkins
      Pages 188-206

    14. Thresholds as Mechanisms for Weighting Influence in the Linear Threshold Rank

      • Maria J. Blesa, Alejandro Dominguez-Besserer, Maria Serna
      Pages 207-222

    15. Parfaite: PageRank-Matrix Factorization for Interpretable Graph Embeddings

      • Gabriel Damay, Mauro Sozio
      Pages 223-238

    16. Categorising Corruption in the Vaccine Discourse: A General Taxonomy, Data Set, and Evaluation of LLMs for Classifying Corruption Dialogue in Social Media

      • Vitor Gaboardi dos Santos, Guto Leoni Santos, Antonia Egli, Estatira Kahvazadeh, Bill Doolin, Patricia Takako Endo et al.
      Pages 239-254

    17. Evaluating and Improving Projects’ Bus-Factor: A Network Analytical Framework

      • Sebastiano A. Piccolo, Pasquale De Meo, Giorgio Terracina
      Pages 255-270

    18. Towards Generalized Offensive Language Identification

      • Alphaeus Dmonte, Tejas Arya, Tharindu Ranasinghe, Marcos Zampieri
      Pages 271-286

    19. Online Social Community Neighborhood Formation

      • Jiarui Wang, George Barnett, Norman Matloff, S. Felix Wu
      Pages 287-304
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Other volumes

  1. Social Networks Analysis and Mining

  2. Social Networks Analysis and Mining

  3. Social Networks Analysis and Mining

  4. Social Networks Analysis and Mining

Editors and Affiliations

  • IT University of Copenhagen, Copenhagen, Denmark

    Luca Maria Aiello

  • Indian Institute of Technology Delhi, New Delhi, India

    Tanmoy Chakraborty

  • Università degli Studi di Milano, Milan, Italy

    Sabrina Gaito

Bibliographic Information

  • Book Title: Social Networks Analysis and Mining

  • Book Subtitle: 16th International Conference, ASONAM 2024, Rende, Italy, September 2–5, 2024, Proceedings, Part I

  • Editors: Luca Maria Aiello, Tanmoy Chakraborty, Sabrina Gaito

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-78541-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Softcover ISBN: 978-3-031-78540-5Published: 25 January 2025

  • eBook ISBN: 978-3-031-78541-2Published: 23 January 2025

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVI, 506

  • Number of Illustrations: 11 b/w illustrations, 117 illustrations in colour

  • Topics: Computer Applications, Statistics, general, Natural Language Processing (NLP), Machine Learning

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