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Situation analysis of relationship in social networks based on link entropy

机译:基于链接熵的社交网络关系状况分析

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Since the existence of certain and uncertain characteristics of the relationships between nodes in social network, the study of social features is expanded by combining the set pair analysis and social computing. In this paper, a new method is created to describe nodes relationship situation in social network, i.e. set pair relationship situation, including generalized set pair relationship situation, generalized set pair close situation and generalized set pair loosen situation. In order to analyze the situation in social network, each kind of set pair relation situation are classified. Combining with the complexity of the social network system and the features of connection entropy, generalized connection entropy which used to express the complexity of social networks is proposed. It includes the generalized same entropy, the generalized difference entropy, and the generalized opposite entropy. These different types of entropies can be used to analyze the social network relationship stability from a more theoretical view. Then a situation analysis model and the corresponding algorithm is proposed. Finally the effectiveness of this method in analyzing the relationships in social networks is proved. Thus, our model can be used to reveal the relationship between social network and node state stability efficiently.
机译:由于社交网络中节点之间的关系存在确定性和不确定性,因此通过集合对分析和社交计算相结合来扩展对社交特征的研究。本文提出了一种描述社交网络中节点关系状况的新方法,即集合对关系状况,包括广义集合对关系状况,广义集合对封闭状况和广义集合对松动状况。为了分析社交网络中的情况,对各种集合对关系情况进行了分类。结合社交网络系统的复杂性和连接熵的特点,提出了用于表达社交网络复杂性的广义连接熵。它包括广义相同熵,广义差分熵和广义相对熵。这些不同类型的熵可用于从更理论的角度分析社交网络关系的稳定性。然后提出了一种情境分析模型及相应的算法。最后证明了该方法在分析社交网络关系中的有效性。因此,我们的模型可以用来有效地揭示社交网络和节点状态稳定性之间的关系。

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