Latest Articles for Social Networks

An overview of the General Linear Threshold model for information diffusion.

GSEBO reveals how to better understand complex graph connections.

A simple look at graphs, geodetic sets, and their connections.

A look into graphs, their structures, and what they reveal about connections.

Discover the journey to find the roots in tree-like networks.

A simple look into graphs and their importance in various fields.

A look at how social networks form through different approaches.

Gelato combines graph structure and learning to improve link prediction accuracy.

A look into power graphs and their impact on group connections.

A concise look at community detection within networks and its applications.

A fresh approach to analyzing connections in directed graphs.

Learn about graph partitions and how they reveal connections in complex networks.

A new approach to studying mixed graphs using integrated adjacency matrices.

Learn how to efficiently update Katz centrality scores in changing networks.

Explore how temporal cliques reveal dynamic group interactions over time.

Discover how hypergraphs and probability intertwine with the birthday problem.

GRAND method helps uncover graph relationships while protecting privacy.

A study of hypergraphs offers new ways to measure complex relationships.

Learn how Graph Max Shift helps in grouping data points effectively.

Uncovering connections and structures in tripartite graphs and the Zarankiewicz problem.

REGE transforms how we understand graphs by addressing uncertainty and enhancing model reliability.

Learn how hypergraphs can identify unusual patterns in complex data.

Explore innovative methods for matching graphs efficiently across complex networks.

Learn how DCSBM helps analyze community interactions in networks.

Discovering influential communities in bipartite graphs and their real-world applications.

Explore sudden shifts in networks that resemble dance parties in chaos.

Explore the role of signed graphs in data science and advancements in GNNs.

Discover how communities form in higher-order networks and their real-world implications.

Explore how people cluster based on shared traits and interests.

How isolated nodes impact network influence and spillover effects.

Discover the dynamic nature of social connections through temporal graphs.

Discover the fascinating properties of graphs and their real-life applications.

Discover the intriguing world of Gromov-hyperbolic spaces and their real-world applications.

Explore how dynamic graph embedding transforms our understanding of changing networks.

Discover how bicliques help reveal hidden connections in networks and data.

Explore how random walks reveal important connections in networks and social groups.

Explore how varied relationships impact communication and information spread.

THESAURUS improves graph clustering by using semantic prototypes and structure.

A fresh approach to counting butterflies in streaming data improves accuracy and efficiency.

A guide to random connections in complex spaces using simple concepts.