A Framework for Interaction-based Propagation Analysis in Online Social Networks
Published in Complex Networks and their applications, 2021
Online social networks enable large-scale analysis of human behavior, which was previously infeasible for social scientists. The relationship between users on social networks can be described as a graph, either undirected or directed. However, these edges are unweighted expressions of interest and do not reflect how individuals interact with each other. Therefore, obtaining weighted edges from communication on social networks is necessary for studying information propagation. In this paper, a novel method is presented to calculate an acquaintance score between pairs of Twitter users, enabling the analysis of interaction-based information propagation. The score considers response time as a crucial factor and enables time-based spreading comparisons, unlike previous work that assigns edge weights based on tie strength.
Bibtex
@article{schroederframework,
title={A Framework for Interaction-based Propagation Analysis in Online Social Networks},
author={Schroeder, Daniel Thilo and Lind, Pedro G and Pogorelov, Konstantin and Langguth, Johannes}
}