Ling Wei1,2,3, Haiyun Xu1, Zhenmeng Wang1,2, Kun Dong1,2, Chao Wang1,2, Shu Fang1
| 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 measure and social network analysis measures. Journal of Informetrics, 5, 594-607.
Aubert, B., Léger, P.M., & Larocque, D. (2012). Differentiating weak ties and strong ties among external sources of influences for enterprise resource planning (ERP) adoption. Enterprise Information Systems, 6(2), 215-235.
Baer, M. (2010). The strength-of-weak-ties perspective on creativity:A comprehensive examination and extension. Journal of Applied Psychology, 95(3), 592-601.
Bettoni, M., & Bernhard, W. (2008). Weak tie cooperation in the CoRe knowledge network. Retrieved on August 20, 2016, from https://www.researchgate.net/publication/264840767.
Brandes, U. (2004). A faster algorithm for betweenness centrality. Journal of Mathematical Sociology, 25(2), 163-177.
Burt, R.S. (2004). Structural holes and good ideas. American Journal of Sociology, 110(2), 349-399.
Chen, G., Xiao, L., Hu, C.P., & Zhao, X.Q. (2015). Identifying the research focus of library and information science institutions in China with institution-specific keywords. Scientometrics, 103(2), 707-724.
Ding, Y., Chowdhury, G.G., & Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information Processing and Management, 37(6), 817-842.
Easley, D., & Kleinberg, J. (2010). Networks, crowds, and markets:Reasoning about a highly connected world. Cambridge:Cambridge University Press.
Freeman, L.C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40, 35-41.
Freeman, L.C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239.
Genius, S.K. (2005). Published literature and diffusion of medical innovation:Exploring innovation generation. The Canadian Journal of Information and Library Science, 1(29), 27-54.
Gilbert, E., & Karahalios, K. (2009). Predicting tie strength with social media. In Sigchi Conference on Human Factors in Computing Systems (pp. 211-220). New York:ACM.
González-Alcaide, G., Castelló-Cogollos, L., Navarro-Molina, C., Aleixandre-Benavent, R., Valderrama-Zurián, J.C. (2008). Library and information science research areas:Analysis of journal articles in LISA. Journal of the American Society for Information Science and Technology, 59(1), 150-154.
Granovetter, M.S. (1973). The strength of weak ties. The American Journal of Sociology, 78(6), 1360-1380.
Granovetter, M.S. (1983). The strength of weak ties:A network theory revisited. Sociological Theory, 1(1), 201-233.
Guo, T., Xu, H.Y., Yue, Z.H., & Fang, S. (2015). Study on the interdisciplinary topics of information science based on TI index series (in Chinese). Journal of the China Society for Scientific and Technical Information, 34(10), 1067-1078.
Hou, H.Y., Liu, Z.Y., Chen, Y., Jiang, C.L., Yin, L.C., & Pang, J. (2006). Mapping of science studies:The trend of research fronts. Science Research Management, 22(3), 90-96.
Jiang, Y.X., & Zhan, H.Q. (2008). Trend analysis of library and information sciences based on co-keyword statistics (in Chinese). Library and Information Service, 52(9), 28-31.
Kavanaugh, A.L., & Reese, D.D. (2005). Weak ties in networked communities. Information Society an International Journal, 21(2), 119-131.
Lee, B. & Jeong, Y.I. (2008). Mapping Korea's national R&D domain of robot technology by using the co-word analysis. Scientometrics, 77(1), 3-19.
Li, J., Sheng, X.P., & Wei, C.M. (2015). Empirical research on open access resources sharing behavior from the perspective of weak ties (in Chinese). Library Forum, 2, 6-10, 87.
Liao, S.J. (2009). Drawing and analysis on knowledge map of research frontiers of information science based on TDA (in Chinese). Information Theory and Practice, 32(11), 98-101.
Pan, Y.F., & Sheng, X.P. (2014). Open access resource sharing behavior analysis based on weak ties (in Chinese). Information Theory and Practice, 37(7), 70-74, 80.
Podolny, J.M., & Baron, J.N. (1996). Resources and relationships:Social networks and mobility in the workplace. American Sociological Review, 62(5), 673-693.
Poleacovschi, C., & Javernickwill, A.N. (2015). Do strong or weak ties matter in knowledge networks? In the 5th International/11th Construction Specialty Conference (pp. 1-9). Vancouver, Canada:British Columbia.
Qiu, J.P., & Lv, H. (2013). The hot domain, research fronts and knowledge base of international library and information visual analysis of 17 journals' knowledge map (in Chinese). Document, Information & Knowledge, 3, 4-15, 58.
Sedighi, M. & Jalalimanesh, A. (2014). Mapping research trends in the field of knowledge management. Malaysian Journal of Library & Information Science, 19(1), 71-85.
Sharone, O. (2014). Social capital activation and job searching:Embedding the use of weak ties in the American institutional context. Work & Occupations, 41(4), 409-439.
Sun, Y., Liu, C., Zhang, C.X., & Zhang, Z.K. (2013) Epidemic spreading on weighted complex networks. Physics Letters A, 378(s 7-8), 635-640.
Szulanski, G. (1996). Exploring internal stickiness:Impediments to the transfer of best practice within the firm. Strategic Management Journal, 17(S2), 27-43.
Takagi, S., & Toyama, R. (2008). On growth of network and centrality's change analysis of co-inventors network in enterprise. Communications in Computer & Information Science, 19, 422-427.
Wagner, C.S., & Leydesdorff, L. (2005). Network structure, self-organization, and the growth of international collaboration in science. Research Policy, 34(10), 1608-1618.
Wasserman, S., & Faust, K. (1997). Social Network Analysis:Methods and applications. Cambridge:Cambridge University Press.
Wei, L., Xu, H. Y, Guo, T., & Fang, S. (2015). Study on the interdisciplinary topics of information science based on weak co-occurrence and burst detecting (in Chinese). Library and Information Service, 59(21), 105-114.
Wellman, B. & Wortley, S. (1990). Different strokes from different folks:Community ties and social support. American Journal of Sociology, 96(3), 558-588.
Xiao, M., Li, G.J., & Yuan, H. (2011). Research fronts of international library and information visual analysis-based on bibliographic coupling analysis on JASIS&T (2000-2009) (in Chinese). Library and Information Service Online, 2, 1-5.
Yang, L.Y., Morris, S.A., & Barden, E.M. (2009). Mapping institutions and their weak ties in a specialty:A case stud y of cystic fibrosis body composition research. Scientometrics, 79(2), 421-434.
Yue, H. (2012). Mapping the intellectual structure by co-word:A case of international management science. Web Information Systems and Mining, 75(29), 621-628.
Zenou, Y. (2015). A dynamic model of weak and strong ties in the labor market. Journal of Labor Economics, 33(4).
Zhang, Y.J. (2011). Research on the scientific front detection by low-frequency occurrence phenomenon (in Chinese). Beijing. (Documentation and Information Centre, Chinese Academy of sciences Ph.D. dissertation)
Zhao, J.C., Wu, J.J., & Xu, K. (2010). Weak ties:Subtle role of information diffusion in online social networks. Physical Review E Statistical Nonlinear & Soft Matter Physics, 82(1 Pt 2), 87-94.
|||Yating LI & Bin ZHANG. A comparative study on institutional collaboration characteristics in EM and LIS in China [J]. Journal of Data and Information Science, 2015, 7(4): 62-77.|
|||Yang ZHANG & Wanyang LING. A comparative study of information diffusion in weblogs and microblogs based on social network analysis [J]. Journal of Data and Information Science, 2012, 5(4): 51-66.|