Social Dynamics of Contagion and Discovery

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Explores graph theory concepts, centrality measures, and real-world network properties, providing insights into handling diverse types of networks.

Topology in Complex Networks: Insights from Topological Data Analysis

Explores the role of higher-order topological properties in complex networks using topological data analysis for structural break and price anomaly detection.

Spatial relations and topology

Covers spatial relations and topology in GIS, emphasizing the importance of topological consistency in spatial analysis.

Statistical Analysis of Network Data: Structures and Models

Explores statistical analysis of network data, covering graph structures, models, statistics, and sampling methods.

Form and Function of Complex Systems

Delves into the form and function of complex systems, emphasizing the interplay between 'mass' and 'transport networks' in various systems.

Statistical analysis of network data

Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.

Dynamic Communication Networks: Structures and Predictability

Explores fundamental structures of dynamic communication networks, including predictability in human mobility and network communities.

Graphical Models: Representing Probabilistic Distributions

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Centrality and Hubs

Delves into centrality and hubs in network neuroscience, exploring node importance, small-world networks, brain structural connectome, and percolation theory.

Node Degree and Strength

Explores brain node connectivity, node degree, strength, random networks, power law distributions, and the complexity of real networks.