Using diffusion characters for the taxonomy of self-organizing social networks

机译：使用扩散特征进行自组织社交网络分类

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This study evolves agents to play iterated prisoners dilemma with choice and refusal. The choice and refusal mechanism causes the agents to self-organize social networks. We then apply a novel technique for inducing a pseudometric on the space of networks using diffusion characters to analyze the resulting social networks, and create an exploratory taxonomy of the social networks. The taxonomy agrees well with features visible in rendered drawing of the networks as well as with similarities in the fitness trajectories of the populations that give rise to those networks.

机译：这项研究使特工们不断地选择和拒绝，从而使囚犯陷入困境。选择和拒绝机制使主体自组织社交网络。然后，我们应用一种新颖的技术，使用扩散特征对网络空间进行伪度量分析，以分析由此产生的社交网络，并创建社交网络的探索性分类法。分类法与网络渲染图中可见的功能以及导致这些网络的人群适应度轨迹的相似性非常吻合。

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《Computational Intelligence in Bioinformatics and Computational Biology, 2009. CIBCB '09》|2009年|60-67|共8页
会议地点 Nashville TN(US);Nashville TN(US)
作者
Ashlock D.; Lee C.;
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Dept. of Math. Stat., Univ. of Guelph, Guelph, ON;

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关键词
multi-agent systems; social networking (online); diffusion characters; fitness trajectories; self-organizing social networks taxonomy;

机译：多主体系统；社交网络（在线）；扩散特征；适应性轨迹；自组织社交网络分类法;

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3. Modeling Dynamics of Diffusion Across Heterogeneous Social Networks: News Diffusion in Social Media [J] . David Newth, Minkyoung Kim, Peter Christen Entropy . 2013,第10期

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4. Using Diffusion Characters for the Taxonomy of Self-Organizing Social Networks [C] . Daniel Ashlock, Colin Lee IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology . 2009

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8. Taxonomy of gamma ray burster data using a self-organizing neural network [R] . Baumgart, C W 1993

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Using diffusion characters for the taxonomy of self-organizing social networks

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