Analysis and mining of online social networks: emerging trends and challenges
作者： Sajid Yousuf Bhat , Muhammad Abulaish
DOI: 10.1002/WIDM.1105
关键词:
摘要: Social network analysis (SNA) is a multidisciplinary field dedicated to the and modeling of relations diffusion processes among various objects in nature society, other information/knowledge processing entities with an aim understanding how behavior individuals their interactions translates into large-scale social phenomenon. Because exploding popularity online networks availability huge amount user-generated content, there great opportunity analyze dynamics at resolutions levels not seen before. This has resulted significant increase research literature intersection computing sciences leading several techniques for area machine learning data mining. Some current challenges include representation, link mining, sentiment analysis, semantic SNA, information diffusion, viral marketing, influential node WIREs Data Mining Knowl Discov 2013, 3:408–444. doi: 10.1002/widm.1105 Conflict interest: The authors have declared no conflicts interest this article. For further resources related article, please visit website.
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