h-Type hybrid centrality measures for weighted networks

Scientometrics

Volumn 96, Issue 2, 2013, Pages 633-640

  Abbasi, Alireza ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

h Index; Hybrid centrality measures; Performance; Social network analysis; Weighted networks

Indexed keywords

EID: 84880134124     PISSN: 01389130     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11192-013-0959-y     Document Type: Article

References (19)

1. Abbasi, A., & Altmann, J. (2010). A asocial network system for analyzing publication activities of researchers. In T. J. Bastiaens, U. Baumol, & B. J. Kramer (Eds.), On collective intelligence (Vol. 76, pp. 49-61). Berlin: Springer.
2. Abbasi, A., & Hossain, L. (2013). Hybrid centrality measures for binary and weighted networks. In R. Menezes, A. Evsukoff, & M. C. González (Eds.), Complex networks (Studies in computational intelligence) (Vol. 424, pp. 1-7). Berlin: Springer.
3. Abbasi, A., Altmann, J., & Hwang, J. (2010). Evaluating scholars based on their academic collaboration activities: Two indices, the rc-index and the cc-index, for quantifying collaboration activities of researchers and scientific communities. Scientometrics, 83(1), 1-13.
4. Abbasi, A., Altmann, J., & Hossain, L. (2011). Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures. Journal of Informetrics, 5(4), 594-607.
5. Abbasi, A., Chung, K. S. K., & Hossain, L. (2012a). Egocentric analysis of co-authorship network structure, position and performance. Information Processing and Management, 48(4), 671-679.
6. Abbasi, A., Hossain, L., & Leydesdorff, L. (2012b). Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks. Journal of Informetrics, 6(1), 403-412.
7. Brandes, U., & Fleischer, D. (2005) Centrality measures based on current flow. In V. Diekert, & B. Durand (Eds.), STACS'05 Proceedings of the 22nd annual conference on theoretical aspects of computer science (pp. 533-544). Berlin: Springer.
8. Dierickx, I., & Cool, K. (1989). Asset stock accumulation and sustainability of competitive advantage. Management Science, 35(12), 1504-1511.
9. Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131-152.
10. Jin, B. (2006). H-index: an evaluation indicator proposed by scientist. Science Focus, 1(1), 8-9.
11. Korn, A., Schubert, A., & Telcs, A. (2009). Lobby index in networks. Physica A: Statistical Mechanics and its Applications, 388(11), 2221-2226.
12. Oh, W., Choi, J. N., & Kim, K. (2006). Coauthorship dynamics and knowledge capital: the patterns of cross-disciplinary collaboration in information systems research. Journal of Management Information Systems, 22(3), 266-292.
13. Schubert, A. (2012). A hirsch-type index of co-author partnership ability. Scientometrics, 91(1), 303-308.
14. Takeda, H., Truex III, D., & Cuellar, M. (2010). Evaluating scholarly influence through social network analysis: The next step in evaluating scholarly influence. AMCIS 2010 Proceedings, 573.
15. Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge: Cambridge University Press.
16. Yan, E., & Ding, Y. (2009). Applying centrality measures to impact analysis: A coauthorship network analysis. Journal of the American Society for Information Science and Technology, 60(10), 2107-2118.
17. Yana, X., Zhaia, L., & Fan, W. (2013). C-index: A weighted network node centrality measure for collaboration competence. Journal of Informetrics, 7(1), 223-239.
18. Zhao, S. X., Rousseau, R., & Ye, F. Y. (2011). H-degree as a basic measure in weighted networks. Journal of Informetrics, 5(4), 668-677.
19. Zhuge, H., & Zhang, J. (2010). Topological centrality and its e-science applications. Journal of the American Society for Information Science and Technology, 61(9), 1824-1841.