Complex Networks XIII: Proceedings of the 13th Conference on Complex Networks, CompleNet 2022

Description

This book contains contributions presented at the 13th International Conference on Complex Networks (CompleNet), April 19–22, 2022. CompleNet is an international conference on complex networks that brings together researchers and practitioners from diverse disciplines―from sociology, biology, physics, and computer science―who share a passion to better understand the interdependencies within and across systems.  CompleNet is a venue to discuss ideas and findings about all types of networks, from biological to technological and to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate. Contents Contributors Targeted Attacks on the World Air Transportation Network: Impact on Its Regional Structure 1 Introduction 2 Background 2.1 Component Structure 2.2 Targeted Attack 2.3 Evaluation Measures 3 Data and Methods 3.1 Data 3.2 Methods 4 Experimental Results 4.1 Component Structure 4.2 Degree Targeted Attack 4.3 Betweenness Targeted Attack 5 Discussion and Conclusion References Measuring Equality and Hierarchical Mobility on Abstract Complex Networks 1 Introduction 2 Related Work 2.1 Individual Influence on Status Hierarchy Evolution 2.2 Equality 2.3 Hierarchical Mobility 3 Measuring Equality and Hierarchical Mobility in Networks 3.1 Equality 3.2 Mobility Taxonomy 4 Data Set Corpus 5 Results and Discussion 5.1 Equality 5.2 Mobility Taxonomy 6 Conclusions References Broadcast Graphs with Nodes of Limited Memory 1 Introduction 2 Background and Literature Review 2.1 Classical Broadcasting 2.2 Broadcasting with Universal List 2.3 Messy Broadcasting 3 Comparison of Universal List and Messy Broadcasting 4 Broadcast Graphs Under the Fully-Adaptive Model 4.1 mbg's for Some Values of nleq16 4.2 General Construction of bg's 5 Conclusion and Future Works References Investigating the Origins of Fractality Based on Two Novel Fractal Network Models 1 Introduction 2 Repulsion Based Fractal Model 2.1 Properties of the RBFM 3 Lattice Small-World Transition Model 3.1 Properties of the LSwTM 4 Discussion and Summary References A Data-Driven Approach to Cattle Epidemic Modelling Under Uncertainty 1 Introduction 2 Data and Methods 3 Results 4 Conclusion References Building a Reliable, Dynamic and Temporal Synthetic Model of the World Trade Web 1 Introduction and Motivation 2 Related Work 3 Methodology 3.1 Data Acquisition and Cleaning 3.2 Synthetic Network: Initialization 3.3 Synthetic Network Growth: Subsequent Years 3.4 Algorithmic Performance 3.5 Connectivity Enforcement 4 Results and Analysis 4.1 Initial Construction 4.2 GDP Parameters 4.3 Simulation Parameters 4.4 Topological Structure Analysis 5 Conclusions and Further Directions References Co-Attention Based Multi-contextual Fake News Detection 1 Introduction 2 Related Work 3 Problem Statement 4 Methodology 4.1 User Node Embedding Learning 4.2 Co-Attention Mechanism 5 Experiments 5.1 Experimental Setup 5.2 Overall Performance 5.3 Explainability 5.4 Ablation Analysis 6 Conclusion References Correlation Financial Networks of an Unstable Stock Market: Empirical Study 1 Introduction 2 Correlation Networks 2.1 Definitions, Notations 2.2 Data and Methodology 2.3 Empirical Results 3 Network Communities 3.1 Sector Centrality 3.2 Community Structure 4 Comparison with S&P500 Network 5 Conclusion References Extracting Characteristic Areas Based on Topic Distribution over Proximity Tree 1 Introduction 2 Related Work 2.1 Community Detection and Graph Cut 2.2 Region Division 3 Proposed Method 4 Experiments 4.1 Visualization 4.2 Degree of Cohesiveness 4.3 Degree of Uniqueness 4.4 Representative Photographs 5 Conclusion References Appendix Author Index Author Index