Extraction and mining of an academic social network
@inproceedings{Tang2008ExtractionAM, title={Extraction and mining of an academic social network}, author={J. Tang and J. Zhang and Limin Yao and Juan-Zi Li}, booktitle={WWW}, year={2008} }
This paper addresses several key issues in extraction and mining of an academic social network: 1) extraction of a researcher social network from the existing Web; 2) integration of the publications from existing digital libraries; 3) expertise search on a given topic; and 4) association search between researchers. We developed a social network system, called ArnetMiner, based on proposed methods to the above problems. In total, 448,470 researcher profiles and 981,599 publications were… CONTINUE READING
Figures and Topics from this paper
Figures
58 Citations
Extraction of academic social network from online database
- Computer Science
- 2011 International Conference on Semantic Technology and Information Retrieval
- 2011
- 33
Social Network Extraction: Superficial Method and Information Retrieval
- Computer Science
- ArXiv
- 2016
- 19
- PDF
Social network extraction based on Web: 3. the integrated superficial method
- Computer Science
- 2018
- 4
- PDF
Who With Whom And How?: Extracting Large Social Networks Using Search Engines
- Computer Science
- CIKM
- 2015
- 6
- PDF
Towards Social Network Extraction Using a Graph Database
- Computer Science
- 2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications
- 2010
- 14
Identification of relevant experts using academic social network mining
- Computer Science
- 2017 3rd International Conference on Control, Automation and Robotics (ICCAR)
- 2017
- 1