Complex networks and their applications XI : proceedings of the Eleventh International Conference on Complex Networks and Their Applications : COMPLEX NETWORKS 2022. Volume 1

Complex networks and their applications XI : Volume 1 / proceedings of the Eleventh International Conference on Complex Networks and Their Applications : COMPLEX NETWORKS 2022. Hocine Cherifi, Rosario Nunzio Mantegna, Luis M. Rocha, Chantal Cherifi, Salvatore Miccichè, editors.

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XI International Conference on...

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Bibliographic Details
Corporate Author: International Conference on Complex Networks and Their Applications Palermo, Italy
Other Authors: Cherifi, Hocine (Editor), Mantegna, Rosario N. (Rosario Nunzio), 1960- (Editor), Rocha, Luis M. (Editor), Cherifi, Chantal (Editor), Miccichè, S. (Salvatore) (Editor)
Format: eBook
Language:English
Published: Cham : Springer, [2023]
Series:Studies in computational intelligence ; v. 1077.
Subjects:
Computer networks > Congresses.
System analysis > Congresses.
Systems engineering > Congresses.
Computer networks
System analysis
Systems engineering
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Intro
  • Organization and Committees
  • Preface
  • Contents
  • Information Spreading in Social Media
  • Cognitive Cascades within Media Ecosystems: Simulating Fragmentation, Selective Exposure and Media Tactics to Investigate Polarization
  • 1 Introduction
  • 2 Background
  • 2.1 Media Ecosystem
  • 2.2 Opinion Diffusion Models
  • 3 Static Media Ecosystem Model
  • 3.1 Review of Cognitive Cascade Model
  • 3.2 Extension to Model the Media Ecosystem
  • 4 Experiments
  • 4.1 Institutional Belief Distributions
  • 4.2 Media Messaging Patterns
  • 4.3 Graph topologies and homophily
  • 4.4 Parameters of Fragmentation and Selective Exposure
  • 4.5 Measures of Polarization
  • 5 Results
  • 5.1 Fragmentation and Exposure do not Cause Polarization
  • 5.2 Most Appeals that Adjust to Subscriber Beliefs Fail to Polarize
  • 6 Discussion
  • References
  • Properties of Reddit News Topical Interactions
  • 1 Introduction
  • 2 Background
  • 3 Experimental Setup
  • 4 Results
  • 4.1 Overview of the Experiments
  • 4.2 Quantifying Interactions
  • 5 Conclusion
  • References
  • Will You Take the Knee? Italian Twitter Echo Chambers' Genesis During EURO 2020
  • 1 Introduction
  • 2 EURO 2020: Beyond the Sportive Event
  • 3 The Online Debate: Will You Take the Knee?
  • 4 Echo Chambers: From Global to Local
  • 5 Conclusions
  • References
  • A Simple Model of Knowledge Scaffolding
  • 1 Introduction
  • 2 The Model
  • 3 Numerical Results
  • 4 Markov Birth-Death Approach
  • 5 Conclusions
  • References
  • Using Knowledge Graphs to Detect Partisanship in Online Political Discourse
  • 1 Introduction
  • 2 Related Work
  • 2.1 Data
  • 3 Methods
  • 3.1 Knowledge Graph Generation
  • 3.2 Training Embeddings
  • 3.3 Detecting Partisanship
  • 3.4 Evaluation
  • 4 Results
  • 5 Discussion
  • 6 Appendix
  • 6.1 Key Terms
  • 6.2 Relation Types
  • References
  • The wisdom_of_crowds: An Efficient, Philosophically-Validated, Social Epistemological Network Profiling Toolkit
  • 1 Introduction
  • 2 Background and Methods
  • 2.1 Core Concepts
  • 2.2 Sullivan et al. (2020)'s Operationalizations
  • 2.3 Caveats and Considerations
  • 2.4 Our Re-implementation
  • 3 Experimental Results
  • 3.1 Efficiency Tests
  • 3.2 Application on Social Network Data: BLM on Twitter
  • 3.3 Application on Communication Network Data: email-Eu-core
  • 4 Discussion and Conclusion
  • References
  • Opening up Echo Chambers via Optimal Content Recommendation
  • 1 Introduction
  • 2 Related Literature
  • 3 Problem Statement
  • 3.1 Dataset
  • 3.2 Echo Chambers
  • 3.3 Promoting Content Diversity
  • 4 Theoretical Model
  • 4.1 Introducing Opinions
  • 4.2 Comparison with Empirical Results
  • 5 Maximising Content Diversity
  • 6 Results
  • 7 Conclusion
  • References
  • Change My Mind: Data Driven Estimate of Open-Mindedness from Political Discussions
  • 1 Introduction
  • 2 Related Work
  • 3 Analyzing the Political Debate Online
  • 4 Political Leaning: Stability and Open-Mindedness
  • 5 Conclusions

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