社会网络中作为用户行为随变的社会互动表征及其评价

Alan Keller Gomes, M. Pimentel
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引用次数: 11

摘要

在社交网络分析中,表示用户交互的模型并不能解释在社交交互中执行了哪些动作,以及在交互中使用了哪些类型的媒体。我们提出了一种新的技术,以if-then规则的形式将社交互动表示为用户的行为偶然性,并使用数据挖掘过程对偶然性进行评估。我们展示了将我们的技术应用于一组Facebook用户的结果,确定了用户参与最多的社交互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social Interactions Representation as Users Behavioral Contingencies and Evaluation in Social Networks
In social network analysis, models for the representation of user's interactions do not explain which actions are performed during social interactions, and which types of media are used in the interactions. We present a novel technique for the representation of social interactions as users' behavioral contingencies in the form of if-then rules, and for the evaluation of the contingencies using data mining procedures. We present the results of applying our technique in a group of Facebook users, identifying the social interactions in which users were more involved the most.
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