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Social Network Analytics: Beyond the Obvious

机译:社交网络分析:超越明显

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In sum, social and information networks and social media present unprecedented sources of rich graph structured real datasets, offering a wealth of possibilities for analysis and mining. Applications of mining such datasets are manifold. In this talk, I will confine our attention to viral marketing and event and story detection and tracking, and describe work that has been done in our research group in recent years. I will conclude with several interesting open problems worthy of future research. The bibliography below is necessarily incomplete and most notably does not include most of our own work, in collaboration with several students, postocs, and colleagues. These works as well as the collaborators will be highlighted in the talk.
机译:总之,社交和信息网络以及社交媒体提供了丰富的图结构真实数据集的空前来源,为分析和挖掘提供了丰富的可能性。挖掘此类数据集的应用是多种多样的。在本次演讲中,我将把注意力集中在病毒性营销以及事件和故事检测与跟踪上,并描述近年来在我们的研究小组中所做的工作。我将以值得研究的一些有趣的开放性问题作为结束。下面的参考书目一定是不完整的,并且最值得注意的是不包括我们与数位学生,postocs和同事合作的大部分工作。这些工作以及合作者将在演讲中重点介绍。

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