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An Approach to Analysis and Measurement of the Stability of Web Community Based on Dissipative Structure Theory and Information Entropy

机译:基于耗散结构理论和信息熵的网络社区稳定性分析与度量方法

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Web community is a web object set, which is composed of documents and users, and it is a huge resource warehouse and exchange flat of information. The web communities are more and more important for many enterprises and individuals because we can get all kinds of useful information and carry out business affairs by it. The community stability is especially important because the corporation cannot have a group of steady customers and orders unless their web community is stable, and their merchandise will be sold well and the business value will be upgraded steadily. In this paper, we have proven that the community is a system of dissipative structure, the random fluctuation of general community member will be dissipated by the system. However, the fluctuation of the members who have biggish contribution will not be dissipated, so the system becomes unstable, which will head the system for a more ordered or chaotic state. Therefore, to rein effectively the fluctuation benefits for the community flourish.Information entropy can be used to measure the uniformity of each subsystem, so it can be used to measure the stability of web community. In the paper, we provide a quantificational approach based on the information entropy to measure the stability.
机译:Web社区是一个由文档和用户组成的Web对象集,是一个巨大的资源仓库和信息交换平台。网络社区对于许多企业和个人而言越来越重要,因为我们可以利用它获得各种有用的信息并开展业务。社区稳定性尤其重要,因为除非公司的网络社区稳定,否则公司无法拥有一群稳定的客户和订单,他们的商品将卖得很好,业务价值将稳步提升。在本文中,我们证明了社区是一个耗散结构的系统,该系统将消散普通社区成员的随机波动。但是,具有较大贡献的成员的波动不会消失,因此系统变得不稳定,这将使系统进入更有序或混乱的状态。因此,可以有效地控制社区繁荣带来的利益。信息熵可以用来度量每个子系统的一致性,从而可以用来度量网络社区的稳定性。在本文中,我们提供了一种基于信息熵的量化方法来测量稳定性。

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