Non-consensus opinion model on directed networks
Bo Qu, Qian Li, Shlomo Havlin, H. Eugene Stanley, Huijuan Wang

TL;DR
This paper investigates how the structure of directed networks influences the coexistence and dominance of opinions, revealing that increased directionality and degree correlation favor the majority opinion.
Contribution
It introduces a non-consensus opinion model on directed networks and explores how network directionality and degree correlation affect opinion dynamics.
Findings
Higher directionality $\xi$ strengthens majority opinion dominance.
Increased degree correlation $ ho$ reduces minority opinion survival.
Directed network structure significantly impacts opinion competition outcomes.
Abstract
Dynamic social opinion models have been widely studied on undirected networks, and most of them are based on spin interaction models that produce a consensus. In reality, however, many networks such as Twitter and the World Wide Web are directed and are composed of both unidirectional and bidirectional links. Moreover, from choosing a coffee brand to deciding who to vote for in an election, two or more competing opinions often coexist. In response to this ubiquity of directed networks and the coexistence of two or more opinions in decision-making situations, we study a non-consensus opinion model introduced by Shao et al. \cite{shao2009dynamic} on directed networks. We define directionality as the percentage of unidirectional links in a network, and we use the linear correlation coefficient between the indegree and outdegree of a node to quantify the relation between the…
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