Impact of mutual influence while ranking authors in a co-authorship network

Kuwait Journal of Science

Volumn 43, Issue 3, 2016, Pages 101-109

  Amjad, Tehmina ^a   Daud, Ali ^a   Akram, Atia ^a   Muhammed, Faqir ^b  

^a INTERNATIONAL ISLAMIC UNIVERSITY   (Pakistan)

^b AIR UNIVERSITY   (Pakistan)

Author keywords

Academic networks; Impact of authors; Mutual influence (MI); PageRank; Ranking of authors

Indexed keywords

EID: 84981165750     PISSN: 23074108     EISSN: 23074116     Source Type: Journal    
DOI: None     Document Type: Article

References (39)

1. Amjad, T., Ding, Y., Daud, A., Xu, J. & Malic, V.(2015). Topic-based heterogeneous rank. Scientometrics,104:313-324.
2. Balog, K., Azzopardi, L. & De Rijke, M. (2006). Formal models for expert finding in enterprise corpora. ACM, pp. 43-50.
3. Balog, K. & de Rijke, M. (2008). Non-local evidence for expert finding. ACM, pp. 489-498.
4. Brin, S. & Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems, 30:107-117.
5. Chai, J.C., Hua, P.H., Rousseau, R. & Wan, J.K. (2008). The adapted pure h-index. In H. Kretschmer & F.Havemann (eds.), Proceedings of WIS 2008, Berlin.
6. Daud, A. (2012). Using time topic modeling for semantics-based dynamic research interest finding. Knowledge Based Systems, 26:154-163.
7. Daud, A., Abbasi, R. & Muhammad, F. (2013). Finding rising stars in social networks, in: Database Systems for Advanced Applications. Springer, pp. 13-24.
8. Daud, A., Li, J., Zhou, L. & Muhammad, F. (2010). Temporal expert finding through generalized time topic modeling. Knowledge Based Systems, 23:615-625.
9. Ding, Y. (2011a). Topic-based PageRank on author cocitation networks. Journal of the Association for Information Science and Technology, 62:449-466.
10. Ding, Y. (2011b). Applying weighted PageRank to author citation networks. Journal of the Association for Information Science and Technology, 62:236-245.
11. Ding, Y., Yan, E., Frazho, A. & Caverlee, J. (2009). PageRank for ranking authors in co-citation networks. Journal of the Association for Information Science and Technology, 60:2229-2243.
12. Egghe, L.(2008). Mathematical theory of the h-and g-index in case of fractional counting of authorship. Journal of the Association for Information Science and Technology, 59:1608-1616.
13. Egghe, L. (2006). An improvement of the H-index: the G-index. ISSI Newsletter. 2:8-9.
14. Fiala, D. (2012). Time-aware PageRank for bibliographic networks. Journal of Informetrics, 6:370-388.
15. Gollapalli, S.D., Mitra, P. & Giles, C.L. (2013). Ranking experts using author-document-topic graphs. ACM, pp. 87-96.
16. Gollapalli, S.D., Mitra, P. & Giles, C.L. (2011). Ranking authors in digital libraries. ACM, pp. 251-254.
17. Hirsch, J.E. (2005). An index to quantify an individual's scientific research output. Proceedings of National Academy of Science U. S. A. 102:16569-16572.
18. Hu, X., Rousseau, R. & Chen, J. (2010). In those fields where multiple authorship is the rule, the h-index should be supplemented by role-based h-indices. Journal of Information Science, 36:73-85.
19. Liu, X., Bollen, J., Nelson, M.L. & Van de Sompel, H. (2005). Co-authorship networks in the digital library research community. Information Processing and Management, 41:1462-1480.
20. Liu, X.Z. & Fang, H. (2011). Fairly sharing the credit of multi-authored papers and its application in the modification of h-index and g-index. Scientometrics, 91:37-49.
21. Li, X.L., Foo, C.S., Tew, K.L. & Ng, S.K. (2009). Searching for rising stars in bibliography networks, in: Database Systems for Advanced Applications. Springer, pp. 288-292.
22. Maslov, S. & Redner, S. (2008). Promise and pitfalls of extending Google's PageRank algorithm to citation networks. The Journal of Neuroscience, 28:11103-11105.
23. Page, L., Brin, S., Motwani, R. & Winograd, T. (1999). The PageRank citation ranking: bringing order to the web, technical report, Stanford University, Stanford, CA.
24. Sekercioglu, C.H. (2008). Quantifying coauthor contributions. Science, 322:371.
25. Sun, Y., Barber, R., Gupta, M., Aggarwal, C.C. & Han, J. (2011). Co-author relationship prediction in heterogeneous bibliographic networks, in: Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on. IEEE, pp. 121-128.
26. Tang, J., Jin, R. & Zhang, J. (2008a). A topic modeling approach and its integration into the random walk framework for academic search, in: Data Mining, 2008. ICDM'08. Eighth IEEE International Conference on. IEEE, pp. 1055-1060.
27. Tang, J., Zhang, J., Jin, R., Yang, Z., Cai, K., Zhang, L. & Su, Z. (2011). Topic level expertise search over heterogeneous networks. Machine Learning, 82:211-237.
28. Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L. & Su, Z. (2008b). Arnetminer: extraction and mining of academic social networks, in: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, pp. 990-998.
29. Umagandhi, R. & Kumar, A.S. (2014). Time heuristics ranking approach for recommended queries using search engine query logs. Kuwait Journal of Science, 41:127-149.
30. Wang, Y., Tong, Y. & Zeng, M. (2013). Ranking scientific articles by exploiting citations, authors, journals, and time information, in: Twenty-Seventh AAAI Conference on Artificial Intelligence.
31. Wan, J.K., Hua, P.H. & Rousseau, R. (2013). The pure h-index: calculating an author's h-index by taking co-authors into account. COLLNET Journal of Scientometrics and Information Management, 1:1-5.
32. Wan, J.K., Hua, P.H. & Rousseau, R. (2007). The pure h-index: calculating an author'sh-index by taking co-authors into account. Collnet Journal of Scientometrics and Information Management, 1:1-5.
33. Wei, W., Barnaghi, P. & Bargiela, A. (2011). Rational Research model for ranking semantic entities. Information Sciences, 181:2823-2840.
34. Yan, E. & Ding, Y. (2011). Discovering author impact: A PageRank perspective. Information Processing and Management, 47:125-134.
35. Yan, E. & Ding, Y. (2010). Measuring scholarly impact in heterogeneous networks. American Societyof Information Science and Technology, 47:1-7.
36. Yan, E. & Ding, Y. (2009). Applying centrality measures to impact analysis: A coauthorship network analysis. Journal of the Association for Information Science and Technology, 60:2107-2118.
37. Yan, E., Ding, Y. & Sugimoto, C.R. (2011). P-Rank: An indicator measuring prestige in heterogeneous scholarly networks. Journal of the Association for Information Science and Technology, 62:467-477.
38. Zhou, D., Orshanskiy, S.A., Zha, H. & Giles, C.L. (2007). Co-ranking authors and documents in a heterogeneous network, in: Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on. IEEE, pp. 739-744.
39. Zhou, Y.B., Lü, L. & Li, M. (2012). Quantifying the influence of scientists and their publications: distinguishing between prestige and popularity. New Journal of Physics, 14:033033.