Arnetminer Service
Arnetminer Service is an online service that provides information about Researcher's Social Network and Researcher's Publication Pages.
- Context:
- It is located at the URL http://arnetminer.org
- It has been available since 2006.
- It aims to provide comprehensive search and mining services for researcher social networks.
- It is supported by the Arnetminer System.
- It is based on the ArnetMiner Database.
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- Counter-Example(s):
- See: Jie Tang, Digital Library.
References
2011
- (Wikipedia, 2011) http://en.wikipedia.org/wiki/Arnetminer
- Arnetminer is a free online service used to index and search academic social networks.
Arnetminer is designed to search and perform data mining operations against academic publications on the Internet, using social network analysis to identify connections between researchers, conferences, and publications[1]. This allows it to provide services such as expert finding, association search, course search, academic evaluation, and topic modeling.
Arnetminer was created as a research project in social influence analysis, social network ranking, and social network extraction. A number of peer-reviewed papers have been published arising from the development of the system. ...
- Arnetminer is a free online service used to index and search academic social networks.
- http://www.arnetminer.org/introduction
- Arnetminer (arnetminer.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 arnetminer include:
- ↑ "ArnetMiner: extraction and mining of academic social networks". Proceeding of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (New York: ACM). 2008. http://portal.acm.org/citation.cfm?id=1401890.1402008.