Jie Tang
Department of Computer Science and Technology, Tsinghua University
Dr. Tang continues to lead the AMiner project, which aims to offer the best services for searching and mining academic social network!
AMiner (aminer.org) aims to provide comprehensive search and mining services for researcher social networks. In this system, we focus on: (1) creating a semantic-based profile for each researcher by extracting information from the distributed Web; (2) integrating academic data (e.g., the bibliographic data and the researcher profiles) from multiple sources; (3) accurately searching the heterogeneous network; (4) analyzing and discovering interesting patterns from the built researcher social network. The main search and analysis functions in AMiner include:
- Profile search: input a researcher name (e.g.,Jie Tang), the system will return the semantic-based profile created for the researcher using information extraction techniques. In the profile page, the extracted and integrated information include: contact information, photo, citation statistics, academic achievement evaluation, (temporal) research interest, educational history, personal social graph, research funding (currently only US and CN), and publication records (including citation information, and the papers are automatically assigned to several different domains).
- Expert finding: input a query (e.g., data mining), the system will return experts on this topic. In addition, the system will suggest the top conference and the top ranked papers on this topic. There are two ranking algorithms, VSM and ACT. The former is similar to the conventional language model and the latter is based on our Author-Conference-Topic (ACT) model. Users can also provide feedbacks to the search results.
- Conference analysis: input a conference name (e.g., KDD), the system returns who are the most active researchers on this conference, and the top-ranked papers.
- Course search: input a query (e.g., data mining), the system will tell you who are teaching courses relevant to the query.
- Sub-graph search: input a query (e.g., data mining), the system first tells you what topics are relevant to the query (e.g., five topics "Data mining", "XML Data", "Data Mining / Query Processing", "Web Data / Database design", "Web Mining" are relevant), and then display the most important sub-graph discovered on each relevant topic, augmented with a summary for the sub-graph.
- Topic browser: based on our Author-Conference-Topic (ACT) model, we automatically discover 200 hot topics from the publications. For each topic, we automatically assign a label to represent its meanings. Furthermore, the browser presents the most active researchers, the most relevant conferences/papers, and the evolution trend of the topic is discovered.
- Academic ranks: we define 8 measures to evaluate the researcher's achievement. The measures include "h -index", "Citation", "Uptrend, "Activity", "Longevity", "Diversity, "Sociability", "New Star". For each measure, we output a ranking list in different domains. For example, one can search who have the highest citation number in the "data mining" domain.
- User management: one can register as a user to: (1) modify the extracted profile information; (2) provide feedback on the search results; (3) follow researchers in AMiner; (4) create an AMiner page (which can be used to advertise confs/workshops, or recruit students).
AMiner.org has been in operation on the internet for more than three years. Currently, the academic network includes more than 6,000 conferences, 3,200,000 publications, 700,000 researcher profiles. The system attracts users from more than 200 countries and receives >200,000 access logs per day. The top five countries where users come from are United States, China, Germany, India, and United Kingdom.
Talks Given
The AMiner.org system has been demonstrated at KDD'07, KDD'08, WWW'08, ISWC'07 . We are invited to introduce the system at MSRA, GOOGLE China, IBM TJ Watson, Nokia, UIUC, CUHK, HKUST, Peking U, ICT CAS. This is a presentation I have made at UIUC and CUHK.
AMiner History
V0.1 Perl-based CGI version
Profile extraction, person/paper/conf. search
V1.0 Java (Demo @ ASWC)
Rewrite the above functions
V2.0 (Demo @ KDD, ISWC)
New: survey search, research interest, association search
V3.0 (Demo @ WWW)
Query understanding, New search GUI, log analysis
V4.0 (Demo @ KDD, ICDM)
Graph search, topic mining, NSFC/NSF
V5.0 (Demo @ KDD)
Bole/course search, profile editing, open resources, #citation
V6.0
Academic statistics, user feedbacks, refined ranking
Team Members
Thanks to all members involved in this project!
AMiner.org is initialized and the first version is also developed by Jie Tang in 2006.
The core team members include
Jie TangPrinciple Investigator and project leader
@ Department of Computer Science and Technology, Tsinghua University. Dr. Tang continues to lead the AMiner project, which aims to offer the best services for searching and mining academic social network!
Deyi LiAdviser
Li Deyi, academician of the Chinese Academy of Engineering, academician of the International Eurasian Academy of Sciences, major general, doctoral tutor. Member of the Ninth National Committee of the China Association for Science and Technology. He is currently a researcher at the 61st Research Institute of the General Staff, honorary chairman of the China Command and Control Society, and chairman of the China Artificial Intelligence Society. Born in Jiangsu Province in 1944, he graduated from Nanjing Institute of Technology in 1967 and received his Ph.D. from Herriot Watt University in Edinburgh, England in 1983.
Jing ZhangMaster (graduated)
She is one of the first two members in our team, and started to work in the team from 2006. She helped develop a number of important functions (including: expert finding [7,9], the user interface, query understanding, and user management) in AMiner. Currently she is working in IBM CDL.
With noted contribution from
Mingcai HongMaster (graduated)
Mingcai is one of the first two members. He is the major developer of the second version of AMiner.org. Currently, he is working at a fund management company.
Limin YaoMaster (graduated)
Limin worked on the researcher profiling problem [9, 11], and she implemented the method for extracting user profiles from the Web using conditional random fields (CRFs). She is currently a Ph.D student at UMass, working with Andrew McCallum.
Duo ZhangMaster (graduated)
Duo proposed a name disambiguation method [9, 12] based on hidden Markov Random Fields (HMRFs). He is now a Ph.D student at UIUC, working with Chengxiang Zhai.
Zi YangMaster student
Zi implemented the Bole search (finding best supervisor). He also helped develop the sub-graph search function.
Yize LiBachelor (graduated)
Yize was working on temporal expertise search. She is now a PhD student at UCSC.
Liu LiuBachelor (graduated)
Liu was working on academic suggestion. She studied variant methods based on topic model for recommending papers, paper reviewers, and relevant conferences/journals. She is now a Master student at CMU.
Chi WangBachelor (graduated)
Chi developed a new approach, which can automatically discover the advisor-advisee relationships between researchers [2]. He was also working on social influence analysis problem [4]. The discovered relationships can be very helpful to Bole search and community discovery. Currently, Chi is a Ph.D student at UIUC, working with Jiawei Han.
Chenhao TanBachelor
Chenhao helped develop the new version of expert finding. He is also working on the social action tracking problem [1]. He will graduate in the summer of 2010.
Zhe WangBachelor
Zhe implemented the academic ranking function. He implemented the eight measures for evaluate the academic achievements of researchers. Also, he helped create the personal statistics page, for example,http://AMiner.org/person/statistics/Jiawei%20Han/486360
![](https://avatarcdn.aminer.cn/upload/avatar/1202/783/2025/53f39ed4dabfae4b34aac60b.jpeg!240?ran=0.44149333841241467")
Zhanpeng FangBachelor
Zhanpeng helped develop the new version of organization search. He also helped developed the conference analysis page.
Other contributors
- Xiaocao Zhou, who developed course search.
- Quan Lin, who developed user feedback.
- Bo Wang, who help develop the bole search.
Special thanks to collaborators
Many have contributed to AMiner.org and gave many constructive suggestions. We would like to thank (some may be missing) :
| Keke Cai | Chris Ding | Ying Ding | Wei Fan | A.C.M. Fong |
| Jiawei Han | Ruoming Jin | Irwin King | Juanzi Li | Bangyong Liang |
| Yan Liu | Qiong Luo | Rui Ma | Zhong Su | Jimeng Sun |
| Haixun Wang | Qiang Yang | Jeffrey Xu Yu | Lei Zhang | Lei Zhang |
| Li Zhang |
Representative Publication
Social influence analysis:
- Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, and Fengjiao Wang. Social Action Tracking via Noise Tolerant Time-varying Factor Graphs. In Proceedings of the Sixteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2010).
- Chi Wang, Jiawei Han, Yuntao Jia, Jie Tang, Duo Zhang, Yintao Yu, and Jingyi Guo. Mining Advisor-Advisee Relationships from Research Publication Networks. In Proceedings of the Sixteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2010).
- Zi Yang, Jie Tang, and Juanzi Li, Social Community Analysis via Factor Graph Model. IEEE Intelligent Systems, (to appear).
- Jie Tang, Jimeng Sun, Chi Wang, and Zi Yang. Social Influence Analysis in Large-scale Networks. In Proceedings of the Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2009). pp. 807-816.
- Jie Tang, Jing Zhang, Jeffrey Xu Yu, Zi Yang, Keke Cai, Rui Ma, Li Zhang, and Zhong Su. Topic Distributions over Links on Web. In Proceedings of 2009 IEEE International Conference on Data Mining (ICDM'2009). pp. 1055-10
Social network ranking:
- Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. AMiner: Extraction and Mining of Academic Social Networks. In Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2008). pp.990-998.
- Jie Tang, Ruoming Jin, and Jing Zhang. A Topic Modeling Approach and its Integration into the Random Walk Framework for Academic Search. In Proceedings of 2008 IEEE International Conference on Data Mining (ICDM'2008). pp. 1055-1060.
- Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, and Yanzhu Liu. Heterogeneous Cross Domain Ranking in Latent Space. In Proceedings of the Eighteenth Conference on Information and Knowledge Management (CIKM'2009). pp. 987-996.
Social network extraction:
- Jie Tang, Limin Yao, Duo Zhang, and Jing Zhang. A Combination Approach to Web User Profiling. ACM Transaction on Knowledge Discovery from Data (TKDD), (to appear).
- Xin Xin, Juanzi Li, Jie Tang, and Qiong Luo. Academic Conference Homepage Understanding Using Constrained Hierarchical Conditional Random Fields. In Proceedings of the Seventeenth Conference on Information and Knowledge Management (CIKM'2008). pp. 1301-1310.
- Jie Tang, Duo Zhang, and Limin Yao. Social Network Extraction of Academic Researchers. In Proceedings of 2007 IEEE International Conference on Data Mining (ICDM'2007). pp. 292-301.
- Duo Zhang, Jie Tang, Juanzi Li, and Kehong Wang. A Constraint-Based Probabilistic Framework for Name Disambiguation. In Proceedings of the Sixteenth Conference on Information and Knowledge Management (CIKM'2007). pp. 1019-1022.
- Jie Tang, Mingcai Hong, Juanzi Li, and Bangyong Liang. Tree-Structured Conditional Random Fields for Semantic Annotation. In Proceedings of the 5th International Conference of Semantic Web (ISWC'2006). pp. 640-653
Previous/Current Sponsors
The AMiner.org project is (was) partially funded by National High-tech R&D Program (863 Program), Chinese Young Faculty Research Funding, NSFC Funded Project, IBM China Research Lab, and Minnesota/China Collaborative Research Program.
If you are interested in sponsoring AMiner.org, please contact with Jie Tang.
Partner
