A Novel Approach to Visualize Co-Authorship and Co-Contribution of Research

Text visualization method depends on the contents of documents to analyze patterns and abstract characters. However, visualizing the scholar text as an understandable view for users is a challenging. We propose an interactive model to collect, analyse and visualize co-authoring data of publication information. We divide the author to students and advisors. This approach can be used for observe the research performance of students and advisor separately. Especially, we analyse the contribution of each author by presenting the quantity and quality of publications. Meanwhile, the rank of the most important authors is shown in the interface which is designed to access publication details easily. Our conception comes from our experiences designing the Scholar Browser for a university which displays research quality.

[1]  Rajeev Motwani,et al.  The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.

[2]  Johan Bollen,et al.  Co-authorship networks in the digital library research community , 2005, Inf. Process. Manag..

[3]  Soumen Chakrabarti,et al.  Mining the web - discovering knowledge from hypertext data , 2002 .

[4]  M E Newman,et al.  Scientific collaboration networks. I. Network construction and fundamental results. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  Kristin A. Cook,et al.  Illuminating the Path: The Research and Development Agenda for Visual Analytics , 2005 .

[6]  Shlomo Moran,et al.  The stochastic approach for link-structure analysis (SALSA) and the TKC effect , 2000, Comput. Networks.

[7]  John Scott What is social network analysis , 2010 .

[8]  Jon Kleinberg,et al.  Authoritative sources in a hyperlinked environment , 1999, SODA '98.

[9]  M. Newman Coauthorship networks and patterns of scientific collaboration , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Z. Neda,et al.  Networks in life: Scaling properties and eigenvalue spectra , 2002, cond-mat/0303106.

[11]  Takayuki Nozawa,et al.  Comparative analysis of co-authorship networks considering authors' roles in collaboration: Differences between the theoretical and application areas , 2006, Scientometrics.

[12]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .