Finding potential research collaborators in four degrees of separation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6441 LNAI, Issue PART 2, 2010, Pages 399-410

  Chaiwanarom, Paweena ^a,b   Ichise, Ryutaro ^b   Lursinsap, Chidchanok ^a  

^a CHULALONGKORN UNIVERSITY   (Thailand)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

author topic model; co authorship network; digital library; graph mining; information retrieval; research collaboration; social network analysis

Indexed keywords

COAUTHORSHIP; GRAPH MINING; RESEARCH COLLABORATION; SOCIAL NETWORK ANALYSIS; TOPIC MODEL; CO-AUTHORSHIP NETWORKS; POTENTIAL RESEARCHES; RESEARCH COLLABORATIONS; SEMANTIC APPROACH; STRUCTURAL APPROACH; TOPIC MODELING;

DIGITAL LIBRARIES; ELECTRIC NETWORK ANALYSIS; INFORMATION RETRIEVAL; RESEARCH; SEMANTICS; SOCIAL NETWORKING (ONLINE);

DATA MINING;

EID: 78650203997     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17313-4_39     Document Type: Conference Paper

References (14)

1. Liu, X., Bollen, J., Nelson, M.L., Sompel, H.V.: Co-Authorship Networks in the Digital Library Research Community. Information Processing and Management- An International Journal 41(6), 1462-1480 (2005)
2. Sharma, M., Urs, S.R.: Small World Phenomenon and Author Collaboration: How Small and Connected is the Digital Library World? In: Goh, D.H.-L., Cao, T.H., Sølvberg, I.T., Rasmussen, E. (eds.) ICADL 2007. LNCS, vol. 4822, pp. 510-511. Springer, Heidelberg (2007)
3. Steyvers, M., Smyth, P., Rosen-Zvi, M., Griffiths, T.: Probabilistic Author-Topic Models for Information Discovery. In: 10th ACM SIGKDD, pp. 306-305 (2004)
4. McNee, S.M., Albert, I., Cosley, D., Gopalkrishnan, P., Lam, S.K., Rashid, A.M., Konstan, J.A., Riedl, J.: On the Recommending of Citations for Research Papers. In: CSCW 2002, pp. 116-125 (2002)
5. Torres, R., McNee, S.M., Abel, M., Konstan, J.A., Riedl, J.: Enhancing Digital Libraries with TechLens+. In: JCDL 2004, pp. 228-236 (2004)
6. Huang, J., Zhuang, Z., Li, J., Giles, C.L.: Collaboration Over Time: Characterizing and Modeling Network Evolution. In: WSDM 2008, pp. 107-116 (2008)
7. Wohlfarth, T., Ichise, R.: Semantic and Event-Based Approach for Link Prediction. In: Yamaguchi, T. (ed.) PAKM 2008. LNCS (LNAI), vol. 5345, pp. 50-61. Springer, Heidelberg (2008)
8. Sachan, M., Ichise, R.: Using Abstract Information and Community Alignment Information for Link Prediction. In: ICMLC 2010, pp. 61-65 (2010)
9. Zaiane, O.R., Chen, J., Goebel, R.: Mining Research Communities in Bibliographical Data. In: Zhang, H., Spiliopoulou, M., Mobasher, B., Giles, C.L., McCallum, A., Nasraoui, O., Srivastava, J., Yen, J. (eds.) WebKDD 2007. LNCS, vol. 5439, pp. 59-76. Springer, Heidelberg (2009)
10. Ichise, R., Fujita, S., Muraki, T., Takeda, H.: Research Mining Using the Relationships among Authos, Topics and Papers. In: IV 2007, pp. 425-430 (2007)
11. Saeed-Ul-Hassan, Ichise, R.: Discovering Research Domains Using Distance Matrix and Coauthorship Network. In: LACTS 2009, pp. 1252-1257 (2009)
12. The scopus databased (2010), http://www.scopus.com/
13. SharpNLP - open source natural language processing tools (2006), http://sharpnlp.codeplex.com/
14. Porter stemming algorithm (2010), http://tartarus.org/~martin/ PorterStemmer/