Since the Web is dynamic, it is necessary to analyze scholarly Web space with both quantitative and qualitative methods for better understanding of communication characteristics. In this study, we analyzed contents of pages and links to ascertain the characteristics of Korean scholarly Web space in terms of network structure and communication behavior. The result shows that the structure of the original network with all the external links remained is not much different from that of the network with activated external links only. However, the purposes of linking vary among scholarly institutions. The centrality measures correlate more strongly with the clustering coefficient than with the constraint index implying the similar explanatory power of the two types of structural indices.
김용학. (2007). 사회 연결망 분석:박영사.
유소영. (2008). 학제적 분야의 정보서비스를 위한 학술지 인용 분석에 관한 연구: Y대학교 생명공학과를 중심으로. 정보관리학회지, 25(4), 283-308.
Bar-Ilan, J. (2004). A microscopic link analysis of academic institutions within a country - the case of Israel. Scientometrics, 59(3), 391-403.
Bar-Ilan, J. (2005). What do we know about links and linking? A framework for studying inlinks in academic environ- ments. Information Processing and Management, 41, 973-986.
Bonacich, P. (1987). Power and centrality: A family of measures. American Journal of Sociology, 92, 1170-1182.
Burt, R. S. (1982). Toward a Structural Theory of Action: Network Models of Social Structure, Perception and Action:Academic Press.
Chung, Y. M. (2009). Characteristics and link structure of a national scholarly Web space: The case of South Korea. Scientometrics, 80(3), -.
Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1, 215-239.
Haas, S. W. Readers, authors, and page structure: A dis- cussion of four questions arising from a content analysis of Web pages. Journal of the American Society for Information Science, 51, 181-192.
Harries, G. (2004). Hy- perlinks as a data source for science mapping. Journal of Information Science, 30(5), 436-447.
Li, X. (2005). National and inter- national university departmental Web site interlinking Part 1: Validation of departmental link analysis. Scientometrics, 64(2), 151-185.
Thelwall, M. (2004). Link Analysis: An Information Science Approach:Elsevier.
Thelwall, M. (2003). Disciplinary and linguistic considerations for academic Web linking: An exploratory hyperlink mediated study with Mainland China and Taiwan. Scientometics, 58(1), 155-181.
Sabidussi, G. (1966). The centrality index of a graph. Psychometrika, 31, 581-603.
Scott, J. (2000). Social Network Analysis: A Handbook:Sage Publications.
SocSciBot3. SocSciBot3. http://socscibot.wlv.ac.uk/.
Watts, D. (1998). Collective dynamics of ‘small-world' networks. Nature, 393(6684), 440-442.
Wilkinson, D. (2003). Motivations for academic Web site interlinking: Evidence for the Web as a novel source of information on informal scholarly communication. Journal of Information Science, 29(1), 59-66.