Latest Articles for Social Networks

SpreadLine enhances visualizing relationships in egocentric networks.

Explore the basics and importance of graph structures and their properties.

Explore how multiplex networks affect the spread of information and behaviors.

Research improves cluster connectivity in community detection via Stochastic Block Models.

This article examines crucial relationships between branching processes and graph structures.

A new method enhances group collaboration through coevolution in networks.

Study of connections in networks through random geometric graphs.

Explore the structure and properties of directed graphs and their applications.

An overview of how the dynamic Laplacian analyzes changing data over time.

A study on how information travels through social networks with community structures.

A study of effective network interventions in public administration and their impact.

This article analyzes how language models create realistic social networks and their biases.

Understanding key concepts for monitoring connections in oriented graphs.

Explore the concepts, properties, and transformations of circular-arc graphs.

An overview of Hawkes processes and their relevance in various fields.

Examining how controllability and observability in temporal hypergraphs can aid complex systems.

A new model explores how network polarization shapes opinions and interactions.

A new method enhances active learning in graph-based tasks with limited labeling.

A new spectral algorithm aims to improve community recovery in labeled networks.

A look at up persistent Laplacian in analyzing complex datasets.

A novel approach to understanding network connections without complete data.

CSDT strategy shows promise for fostering cooperation in complex networks.

Study reveals methods to identify opinion-sharing groups in complex social networks.

Understanding the interplay of signed graphs and their indices can reveal complex relationships.

A new approach to estimate treatment effects considering social influences.

A new method for identifying fake accounts on social networks.

A novel approach to understanding networks despite missing information.

A look into the relationships and characteristics of circular-arc and chordal graphs.

A new model reveals insights into positive and negative relationships in networks.

Exploring self-similarity in networks over time reveals insights into complex systems.

New technique enhances network analysis using approximate equitable partitions.

This study analyzes how friends affect video game buying choices.

This paper discusses methods for anonymizing networks while preserving data utility.

A new method for counting cycles in graphs while ensuring user privacy.

An overview of temporal forests and their significance in tracking changing connections.

GASM combines graph structure and attributes for improved matching solutions.

This study investigates relationships among actors and directors in today’s film industry.

A look into hypergraphs and the role of homology in complex systems.

A new framework to identify connections in real-time interactions.

This study highlights the limits of sensitivity in algorithm design.