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Uncovering Patterns of Participant-Invariant Influence in Networks

2023/12/05 by Min Shaojie, Shaojie, Min
Physics and Astronomy · Psychology · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Mental Health Research Topics #Opinion Dynamics and Social Influence #Social and Information Networks (cs.SI)

paper · pdf · doi:10.48550/arxiv.2312.02906

openalex publication_date 2023/12/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In this paper, we explore the nature of influence in a network. The concept of participant-invariant influence is derived from an influence matrix M specifically designed to explore this phenomenon. Through nonnegative matrix factorization approximation, we managed to extract a participant-invariant matrix H representing a shared pattern that all participants must obey. The acquired H is highly field-related and can be further utilized to cluster factual networks. Our discovery of the unveiled participant-independent influence within network dynamics opens up new avenues for further research on network behavior and its implications.

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