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.

Presents the latest research in Complex Networks and their Applications Gathers the edited proceedings of the Eleventh International Workshop on Complex Networks & their Applications Offers state-of-the-art research on complex networks, including various research directions

Inhalt
Part I: Network Models.- Modularity of the ABCD Random Graph Model with Community Structure.- Learning Attribute Distributions Through Random Walks.- A More Powerful Heuristic for Balancing An Unbalanced Graph.- DC-RST: A Parallel Algorithm for Random Spanning Trees in Network Analytics.- A stochastic approach for extracting community-based backbones.- Correcting Output Distributions in Chung-Lu Random Graph Generation.- After We Fight I Like You More: A Controlled Adaptive Network Model for the Effects of Interpersonal Synchrony Transitions on Affiliation.- Uniformly Scattering Neighboring Nodes of an Ego-centric Network on a Spherical Surface for Better Network Visualization.- The Hyperbolic Geometric Block Model and Networks with Latent and Explicit Geometries.- A Biased Random Walk Scale-Free Network Growth Model with tunable Clustering.- The distance backbone of directed networks.- Part II: Community Structure.- Structure of Core-Periphery Communities.- Outliers in the ABCD RandomGraph Model with Community Structure (ABCD+o).- Influence-based Community Deception.- AutoGF: Runtime Graph Filter Tuning for Community Node Ranking.- Dynamic Local Community Detection with Anchors.- Community Detection Supported by Node Embeddings (Searching For a Suitable Method).- Modeling Node Exposure for Community Detection in Networks.- Community Detection for Temporal Weighted Bipartite Networks.- Robustness and sensitivity of network-based topic detection.- Community Detection using Moore-Shannon Network Reliability: Application to Food Networks.- Part III: Structural Network Measures.- Winner does not take all: contrasting centrality in adversarial networks.- Reconstructing degree distribution and triangle counts from edge-sampled graphs.- Generalizing Homophily to Simplicial Complexes.- Statistical network similarity.- Intersection of random spanning trees in small-world networks.- Node Classification Based on Non-symmetric Dependencies and Graph Neural Networks.- Mean Hitting Time of Q-subdivision Complex Networks.- Delta density: comparison of different sized networks irrespective of their size.- Part IV: Resilence and Robustness of Networks.- Robustness of Network Controllability with respect to Node Removals.- Optimal network robustness in continuously changing degree distributions.- Investments in Robustness of Complex Systems: Algorithm Design.- Incremental computation of effective graph resistance for improving robustness of complex networks: a comparative study.- Analysis on the effects of graph perturbations on centrality metrics.- Robustness of Preferential-Attachment Graphs: Shifting the Baseline.- The vertex-edge separator transformation problem in network dismantling.- Part V: Network Analysis.- Gig economy and social network analysis: topology of inferred network.- Understanding sectoral integration in energy systems through complex network analysis.- An analysis of Bitcoin dust through authenticated queries.- Optimal bond percolation in networks by a fast-decycling framework.- Part VI: Motif Discovery in Complex Networks.- Integrating Temporal Graphs via Dual Networks: Dense.- Graph Discovery.- Exploring and mining attributed sequences of interactions.- Air transport network: A comparison of statistical backbone filtering techniques.- Towards the Concept of Spatial Network Motifs.- Improving the characterization and comparison of football players with spatial flow motifs.- Part VII: Dynamics on/of Networks.- Bayesian Approach to Uncertainty Visualization of Heterogeneous Behaviors in Modeling Networked Anagram Games.- Understanding the Inter-Enterprise Competitive Relationship based on the Link Prediction Method: Experience from Z-Park.- Analyzing Configuration Transitions Associated with Higher-Order Link Occurrences in Networks of Cooking Ingredients.- Role of network topology in between-community beta diversity on river networks.- Can you hear the position of nodes?.- Memory Based Temporal Network Prediction.- Drug Trafficking in Relation to Global Shipping Network.- Understanding the Inter-Enterprise Competitive Relationship based on the Link Prediction Method: Experience from Z-Park.- Analyzing Configuration Transitions Associated with Higher-Order Link Occurrences in Networks of Cooking Ingredients.- Role of network topology in between-community beta diversity on river networks.- Can you hear the position of nodes?.- Memory Based Temporal Network Prediction.- Drug Trafficking in Relation to Global Shipping Network.