Abstract: Online social networks connect our physical daily life and the virtual Web space. The user generated data is becoming big, heterogeneous, and highly connected. In this talk, I will first present our recently developed methodologies and algorithms for connecting multiple heterogeneous networks (COSNET) and top-k similarity search (Panther). Both algorithms have been deployed to an online academic search and mining system AMiner, which has collected a large scholar dataset, with more than 130,000,000 researcher profiles and 100,000,000 papers from multiple publication databases. With COSNET, we connect AMiner with several professional social networks, such as LinkedIn and VideoLectures, which significantly enriches the scholar metadata. Panther is used to find similar authors in AMiner and can return top-k similar vertices 300× faster than the state-of-the-art methods.
Bio: Jie Tang is a Tenured associate professor with the Department of Computer Science and Technology at Tsinghua University, and was also visiting scholar at Cornell University, Hong Kong University of Science and Technology, and Southampton University. His interests include social network analysis, data mining, and machine learning. He has published more than 200 journal/conference papers and holds 20 patents. His papers have been cited by more than 7,000 times (Google Scholar). He served as PC Co-Chair of CIKM’16, WSDM’15, ASONAM’15, SocInfo’12, KDD-CUP/Poster/Workshop/Local/Publication Co-Chair of KDD’11-15, and Associate Editor-in-Chief of ACM TKDD, Editors of IEEE TKDE/TBD and ACM TIST. He leads the project AMiner.org for academic social network analysis and mining, which has attracted more than 8 million independent IP accesses from 220 countries/regions in the world. He was honored with the UK Royal Society-Newton Advanced Fellowship Award, CCF Young Scientist Award, and NSFC Excellent Young Scholar.
You can find the slides: here.
Jordi Casas Roma, Open University of Catalonia, Spain
Magdalini Eirinaki, San Jose State University, USA
Christos Giatsidis, École Polytechnique, France
Bruno Gonçalves, New York University, USA
Argyris Kalogeratos, ENS Cachan, France
Theodoros Lappas, Stevens Institute of Technology, USA
Clement Levallois, EMLYON Business School, France
Michael Mathioudakis, Aalto University, Finland
Kjetil Nørvåg, Norwegian University of Science and Technology, Norway
Evangelos Papalexakis, Carnegie Mellon University, USA
Jesse Read, Télécom ParisTech, France
Ryan Rossi, Palo Alto Research Center (PARC), USA
Ansaf Salleb-Aouissi, Columbia University, USA
Nikolaos Tziortziotis, École Polytechnique, France
Iraklis Varlamis, Harokopio University of Athens, Greece
Rui Yan, Baidu, China