| 書目名稱 | Opinion Dynamics and the Evolution of Social Power in Social Networks | | 編輯 | Mengbin Ye | | 視頻video | http://file.papertrans.cn/703/702416/702416.mp4 | | 概述 | Nominated 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 | | 叢書名稱 | Springer Theses | | 圖書封面 |  | | 描述 | .This book uses rigorous mathematical analysis to advance opinion dynamics models for social networks in three major directions. First, a novel model is proposed to capture how a discrepancy between an individual’s private and expressed opinions can develop due to social pressures that arise in group situations or through extremists deliberately shaping public opinion. Detailed theoretical analysis of the final opinion distribution is followed by use of the model to study Asch’s seminal experiments on conformity, and the phenomenon of pluralistic ignorance. Second, the DeGroot-Friedkin model for evolution of an individual’s social power (self-confidence) is developed in a number of directions. The key result establishes that an individual’s initial social power is forgotten exponentially fast, even when the network changes over time; eventually, an individual’s social power depends only on the (changing) network structure. Last, a model for the simultaneous discussion of multiple logically interdependent topics is proposed. To ensure that a consensus across the opinions of all individuals is achieved, it turns out that the interpersonal interactions must be weaker than an individua | | 出版日期 | Book 2019 | | 關(guān)鍵詞 | Social Networks Analysis; Influence Networks; Evolution of Social Power; Degroot Model; Friedkin–Johnsen | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-10606-5 | | isbn_ebook | 978-3-030-10606-5Series ISSN 2190-5053 Series E-ISSN 2190-5061 | | issn_series | 2190-5053 | | copyright | Springer Nature Switzerland AG 2019 |
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