J
Jie Tang
Researcher at Tsinghua University
Publications - 599
Citations - 25529
Jie Tang is an academic researcher from Tsinghua University. The author has contributed to research in topics: Computer science & Social network. The author has an hindex of 68, co-authored 466 publications receiving 18934 citations. Previous affiliations of Jie Tang include University of Notre Dame & Renmin University of China.
Papers
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Journal ArticleDOI
Generalized multipath planning model for ride-sharing systems
TL;DR: A similarity model is provided which can reflect the personal preferences of the rides and utilize social media to obtain the current interests of the riders and drivers and allows each driver to generate sub-optimal paths according to his own requirements by suitably adjusting the weights.
Book ChapterDOI
Weighted ontology-based search exploiting semantic similarity
TL;DR: This paper first employs keyword based search method to retrieve instances for a query; then a proposed method of semantic feedback is performed to refine the search results; and then it conducts re-retrieval by making use of relations and instance similarities.
Journal ArticleDOI
Modeling Indirect Influence on Twitter
TL;DR: The authors' observation of intensity of indirect influence, propagated by n parallel spreaders and quantified by retweeting probability in two Twitter social networks, shows that complex contagion is validated globally but is violated locally.
Proceedings Article
StructInf: Mining structural influence from social streams
TL;DR: This paper introduces a novel notion of structural influence and studies how to efficiently discover structural influence patterns from social streams by presenting three sampling algorithms with theoretical unbiased guarantee to speed up the discovery process.
Journal ArticleDOI
Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective
TL;DR: This paper proposes a framework to analyze the interdisciplinary collaboration in a coauthorship network from a meso perspective using topic modeling, and a customized topic model is developed to capture and formalize the interciplinary feature.