Bloggers behavior and emergent communities in Blog space
Bloggers behavior and emergent communities in Blog space
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DOI：
10.1140/epjb/e2009-00431-9
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发表时间：
2010-01-01
影响因子：
1.6
通讯作者：
Tadic, B.
中科院分区：
文献类型：
--
作者：
Mitrovic, M.;Tadic, B.
网络空间中用户之间的互动可能会导致与普通社交网络中观察到的现象不同的现象。在这里，我们分析了关于用户和博客的大数据集，他们写和评论，映射到一个二分图。在这样扩大的博客空间，我们跟踪用户活动随着时间的推移，这导致强大的时间模式的用户博客行为和社区的出现。将谱方法应用到加权用户网络的投影中，我们发现了与他们的共同兴趣和习惯相关的用户集群。我们的研究结果表明，不同的机制可能发挥作用的情况下，非常流行的博客。我们的分析为网络社区的演变理论建模和数据的实际研究奠定了合适的基础，特别是对有趣的博客集群的有效搜索和进一步检索其内容的文本分析。
Interactions between users in cyberspace may lead to phenomena different from those observed in common social networks. Here we analyse large data sets about users and Blogs which they write and comment, mapped onto a bipartite graph. In such enlarged Blog space we trace user activity over time, which results in robust temporal patterns of user-Blog behavior and the emergence of communities. With the spectral methods applied to the projection on weighted user network we detect clusters of users related to their common interests and habits. Our results suggest that different mechanisms may play the role in the case of very popular Blogs. Our analysis makes a suitable basis for theoretical modeling of the evolution of cyber communities and for practical study of the data, in particular for an efficient search of interesting Blog clusters and further retrieval of their contents by text analysis.