| 书目名称 | Community detection and mining in social media | | 编辑 | Lei Tang,Huan Liu | | 视频video | | | 丛书名称 | Synthesis Lectures on Data Mining and Knowledge Discovery | | 图书封面 |  | | 描述 | The past decade has witnessed the emergence of participatory Web and social media, bringing people together in many creative ways. Millions of users are playing, tagging, working, and socializing online, demonstrating new forms of collaboration, communication, and intelligence that were hardly imaginable just a short time ago. Social media also helps reshape business models, sway opinions and emotions, and opens up numerous possibilities to study human interaction and collective behavior in an unparalleled scale. This lecture, from a data mining perspective, introduces characteristics of social media, reviews representative tasks of computing with social media, and illustrates associated challenges. It introduces basic concepts, presents state-of-the-art algorithms with easy-to-understand examples, and recommends effective evaluation methods. In particular, we discuss graph-based community detection techniques and many important extensions that handle dynamic, heterogeneous networks in social media. We also demonstrate how discovered patterns of communities can be used for social media mining. The concepts, algorithms, and methods presented in this lecture can help harness the powe | | 出版日期 | Book 2010 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-01900-5 | | isbn_softcover | 978-3-031-00772-9 | | isbn_ebook | 978-3-031-01900-5Series ISSN 2151-0067 Series E-ISSN 2151-0075 | | issn_series | 2151-0067 | | copyright | Springer Nature Switzerland AG 2010 |
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发表于 2025-3-21 18:37:49
