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.
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 Networks 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.
