Under a common dominant left eigenvector condition on logic matrices, signed multi-topic DeGroot-Friedkin dynamics reduce to scalar maps and converge globally to pluralistic, mixed, or vertex-dominant social power configurations while preserving interaction centrality ordering in the first two cases
A tutorial on modeling and analysis of dynamic social networks. Part I
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Dynamic stubborn-agent interventions outperform static ones at shifting average opinions under Hegselmann-Krause bounded-confidence dynamics on weighted LFR networks.
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Signed DeGroot-Friedkin Dynamics with Interdependent Topics
Under a common dominant left eigenvector condition on logic matrices, signed multi-topic DeGroot-Friedkin dynamics reduce to scalar maps and converge globally to pluralistic, mixed, or vertex-dominant social power configurations while preserving interaction centrality ordering in the first two cases
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Static and Dynamic Strategies for Influencing Opinions in Social Networks
Dynamic stubborn-agent interventions outperform static ones at shifting average opinions under Hegselmann-Krause bounded-confidence dynamics on weighted LFR networks.