reject
发表于 2025-3-25 07:02:00
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鸣叫
发表于 2025-3-25 08:16:09
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glowing
发表于 2025-3-25 13:05:31
https://doi.org/10.1007/978-3-030-10606-5Social Networks Analysis; Influence Networks; Evolution of Social Power; Degroot Model; Friedkin–Johnsen
comely
发表于 2025-3-25 19:10:35
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熄灭
发表于 2025-3-25 20:03:45
Opinion Dynamics and the Evolution of Social Power in Social Networks978-3-030-10606-5Series ISSN 2190-5053 Series E-ISSN 2190-5061
Leaven
发表于 2025-3-26 03:21:42
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inspiration
发表于 2025-3-26 05:40:33
Conclusions and Future WorkBy way of conclusion, the main contributions of this thesis are now summarised and discussed. Possible future research directions are also outlined in Sect. ..
河潭
发表于 2025-3-26 08:59:47
Mengbin YeNominated as an outstanding PhD thesis by The Australian National University, Canberra, Australia.Advances the modeling and understanding of how individuals’ opinions evolve in a social network.Access
细查
发表于 2025-3-26 12:45:57
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遵循的规范
发表于 2025-3-26 19:16:07
Continuous-Time Opinion Dynamics with Interdependent Topicssion. Surprisingly, different types of conclusions come from continuous time as opposed to discrete time. In fact, a key finding is that in continuous time, the condition for consensus couples the logic matrix with the network topology, whereas consensus in the discrete-time model is ensured if sepa