Influence, inertia, and independence: a diffusion model for temporal social networks

ABSTRACT In this work, we propose a diffusion model for temporal social networks and relate it to other well-known models of social influence by investigating its formal properties. The model establishes dyadic influence weights based on two antagonistic components: the susceptibility to be influenced (or, conversely, inertia with respect to the status quo) and becoming independent of prior influence. The proposed model generalizes the Friedkin-Johnsen model by the inertia with respect to the current influence relationships. We show that this generalization is an over-parameterization for static but not for dynamic influence networks. These findings suggest that the model at hand expands the set of existing social influence models in a non-trivial way.

• Publication year

  2024

• Venue

  The Journal of mathematical sociology

• Publication date

  2024-05-06

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1080/0022250X.2024.2340134
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Coaching legacies: influence propagation through temporal social networks in the Australian Football League

  2023cited by this paper
• Social Power Evolution in Influence Networks With Stubborn Individuals

  2019cited by this paper
• A Tutorial on Modeling and Analysis of Dynamic Social Networks. Part II

  2018cited by this paper
• Opinion evolution in time-varying social influence networks with prejudiced agents

  2017cited by this paper
• Models of Social Influence: Towards the Next Frontiers

  2017cited by this paper
• Opinion Dynamics and Social Power Evolution: A Single–Timescale Model

  2017cited by this paper
• Modern temporal network theory: a colloquium

  2015cited by this paper
• Novel Multidimensional Models of Opinion Dynamics in Social Networks

  2015influential reference
• Opinion Dynamics and the Evolution of Social Power in Influence Networks

  2015cited by this paper
• Dynamical Systems on Networks: A Tutorial

  2014cited by this paper
• Temporal Networks

  2011cited by this paper
• A Formal Theory of Reflected Appraisals in the Evolution of Power

  2011cited by this paper
• The theory of cognitive dissonance By

  2008cited by this paper
• Social Influence

  2007cited by this paper
• Situating Social Influence Processes: Dynamic, Multidirectional Flows of Influence Within Social Networks

  2007cited by this paper
• Adaptive coevolutionary networks: a review

  2007cited by this paper
• PERSUASION BIAS , SOCIAL INFLUENCE , AND UNIDIMENSIONAL

  2003cited by this paper
• Nonnegative Matrices and Applications

  1997influential reference
• Social Learning Theory

  1993cited by this paper
• Theoretical Foundations for Centrality Measures

  1991cited by this paper
• Social influence and opinions

  1990influential reference
• Status quo bias in decision making

  1988cited by this paper
• Modal theory: An algebraic approach to order, geometry, and convexity

  1985cited by this paper
• Towards consensus: some convergence theorems on repeated averaging

  1977cited by this paper
• Reaching a Consensus

  1974cited by this paper
• The bases of social power.

  1959cited by this paper
• Personal Influence: The Part Played by People in the Flow of Mass Communications

  1957cited by this paper
• The Diffusion of an Innovation Among Physicians

  1957cited by this paper
• Studies of independence and conformity: I. A minority of one against a unanimous majority.

  1956cited by this paper
• A formal theory of social power.

  1956cited by this paper
• THE AMERICAN PSYCHOLOGICAL ASSOCIATION.

  1897cited by this paper

• No citing papers are available for this paper.