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Jie Tang

Semantic Mining of Social Networks

Buch

Online social networks have already become a bridge connecting our physical daily life with the (web-based) information space. This connection produces a huge volume of data, not only about the information itself, but also about user behavior. The ubiquity of the social Web and the wealth of social data offer us unprecedented opportunities for studying the interaction patterns among users so as to understand the dynamic mechanisms underlying different networks, something that was previously difficult to explore due to the lack of available data. In this book, we present the architecture of the research for social networ… Mehr

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Produktdetails


Weitere Autoren: Li, Juanzi
  • ISBN: 978-1-60845-857-8
  • EAN: 9781608458578
  • Produktnummer: 18120989
  • Verlag: Morgan & Claypool Publishers
  • Sprache: Englisch
  • Erscheinungsjahr: 2015
  • Seitenangabe: 206 S.
  • Masse: H23.5 cm x B19.1 cm x D1.1 cm 395 g
  • Abbildungen: Paperback
  • Gewicht: 395

Über den Autor


Jie Tang is an associate professor with the Department of Computer Science and Technology, at Tsinghua University. His interests include social network analysis, data mining, and machine learning. He has published more than 100 journal/conference papers and holds 10 patents. He served as PC Co-Chair of WSDM'15, ASONAM'15, ADMA'11, SocInfo'12, KDD-CUP Co- Chair of KDD'15, Poster Co-Chair of KDD'14, Workshop Co-Chair of KDD'13, Local Chair of KDD'12, Publication Co-Chair of KDD'11, and as the PC member of more than 50 international conferences. He is the principal investigator of National High-tech R&D Program (863), NSFC project, Chinese Young Faculty Research Funding, National 985 funding, and international collaborative projects with Minnesota University, IBM, Google, Nokia, Sogou, etc. He leads the project Arnetminer.org for academic social network analysis and mining, which has attracted millions of independent IP accesses from 220 countries/regions in the world. He was honored with the Newton Advanced Scholarship Award, CCF Young Scientist Award, NSFC Excellent Young Scholar, and IBM Innovation Faculty Award.

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