Title :
Analysis of Researcher Co-authorship Network
Author :
Jiana Meng ; Jun Guo
Author_Institution :
Coll. of Comput. Sci. & Eng., Dalian Nat. Univ., Dalian, China
Abstract :
This work analyzes the co-authorship of science papers published by university teachers, and then constructs are searcher co-authorship network and characterizes the network by some varying quantities: the clustering coefficient, the average degree, diameter, average distance and components. Consequently, this paper visualizes the researcher co-authorship network which can lead to a better understanding of the applications of information visualization technology.
Keywords :
pattern clustering; social networking (online); clustering coefficient; information visualization technology; researcher coauthorship network; science paper coauthorship; social network analysis; university teachers; Collaboration; Data visualization; Information science; Libraries; Social network services; Software; Visualization; Average distance; Clustering coefficient; Information visualization; Social network analysis;
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2015 IEEE 29th International Conference on
Conference_Location :
Gwangiu
Print_ISBN :
978-1-4799-1774-7
DOI :
10.1109/WAINA.2015.63
