Complex Networks and Their Applications XI : Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022 — Volume 1 / edited by Hocine Cherifi, Rosario Nunzio Mantegna, Luis M. Rocha, Chantal Cherifi, Salvatore Miccichè.

Format:

Book

Contributor:

Cherifi, Hocine, editor.

Series:

Studies in Computational Intelligence, 1860-9503 ; 1077

Language:

English

Subjects (All):

Dynamics.

Nonlinear theories.

Computational intelligence.

Applied Dynamical Systems.

Computational Intelligence.

Local Subjects:

Applied Dynamical Systems.

Computational Intelligence.

Physical Description:

1 online resource (667 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

Summary:

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 Complex Networks and their Applications (COMPLEX NETWORKS 2022). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.

Contents:

Part I: Information Spreading in Social Media

Cognitive Cascades within Media Ecosystems: Simulating Fragmentation, Selective Exposure and Media Tactics to Investigate Polarization

Properties of Reddit News Topical Interactions

Will You Take the Knee? Italian Twitter Echo Chambers’ Genesis during EURO 2020

A simple model of knowledge scaffolding

Using knowledge graphs to detect partisanship in online political discourse

The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit

Opening up echo chambers via optimal content recommendation

Change my Mind: Data Driven Estimate of Open-Mindedness from Political Discussions

The effects of message sorting in the diffusion of information in online social media

Gradual Network Sparsification and Georeferencing for Location-Aware Event Detection in Microblogging Services

Manipulation during the French presidential campaign : Coordinated inauthentic behaviors and astroturfing analysis on text and images

Part II: Modeling Human Behavior

Lexical networks constructed to correspond students’ short written responses: A quantum semantic approach

Attributed Stream-Hypernetwork analysis: Homophilic Behaviors in Pairwise and Group Political Discussions on Reddit

Individual Fairness for Social Media Influencers

Multidimensional online American politics: Mining emergent social cleavages in social graphs

Classical and quantum random walks to identify leaders in criminal networks

Random walk for generalization in goal-directed human navigation on Wikipedia

Sometimes Less is More: When Aggregating Networks Masks Effects

An Adaptive Network Model Simulating the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning

Part III: Biological Networks

Modeling of Hardy-Weinberg Equilibrium using dynamic random networks in an ABM framework

IntegrOmics: A computational Framework to analyze RNA-Seq and Methylation data through heterogeneous multi-layer networks

A Network-based Approach for Inferring Thresholds in Co-expression Networks

Building Differential Co-expression Networks with Variable Selection and Regularization

Inferring probabilistic Boolean networks from steady-state gene data samples

Quantifying High-Order Interactions in Complex Physiological Networks: a frequency-specific approach

A Novel Reverse Engineering Approach for Gene Regulatory Networks

Using the Duplication-Divergence Network Model to Predict Protein-Protein Interactions

Part IV: Machine Learning and Networks

SignedS2V: structural embedding method for signed networks

HM-LDM: A Hybrid-Membership Latent Distance Model

The Structure of Interdisciplinary Science: Uncovering and Explaining Roles in Citation Graphs

Inferring Parsimonious Coupling Statistics in Nonlinear Dynamics with Variational Gaussian Processes

Detection of Sparsity in Multidimensional Data Using Network Degree Distributionand Improved Supervised Learning with Correction of Data Weighting

Network Structure vs Chemical Information in Drug-Drug Interaction Prediction

Geometric Deep Learning graph pruning to speed-up the run-time of Maximum Clique Enumerarion algorithms

Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning

Part V: Networks in Finance and Economics

Pattern Analysis of Money Flows in the Bitcoin Blockchain

On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product

Measuring the Stability of Technical Cooperation Network Based on the Nested Structure Theory

Dynamic transition graph for estimating the predictability of financial and economical processes

A network analysis of world trade structural changes (1996-2019)

Green Sector Space: The evolution and capabilities spillover of economic green sectors in the United States

Statistical inference of lead-lag between asynchronous time series from p-values oftransfer entropy at various timescales

Part VI: Networks and Mobility

Extracting Metro Passenger Flow Predictors from Network’s Complex Characteristics

Estimating Peak-Hour Urban Traffic Congestion

Adaptive Routing Potential in Road Networks

Part VII: Diffusion and Epidemics

Detecting Global Community Structure in a COVID-19 Activity Correlation Network

Overcoming vaccine hesitancy by multiplex social network targeting

Analyzing Community-aware Centrality Measures Using The Independent Cascade Model

Paths for emergence of superspreaders in dengue fever spreading network

Part VIII: Multilayer Networks

Structural Cores and Problems of Vulnerability of Partially Overlapped Multilayer Networks

Multilayer Block Models for Exploratory Analysis of Computer Event Logs

On the Effectiveness of Using Link Weights and Link Direction for Community Detection in Multilayer Networks.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Cherifi, Hocine Complex Networks and Their Applications XI

ISBN:

3-031-21127-8