Collaboration Network Analysis Based on Normalized Citation Count and Eigenvector Centrality

2. Related Work

Newman (2001) discussed the weighted collaboration network of co-authors. Here, authors mentioned that the node represents the individual author and the edge between nodes represents the collaboration and the weight of the edge represents the collaborative strength. Farkas et al. (2007) discussed the weighted collaboration network for appraising the scholarly impact of authors where weight is the geometric mean of citation count earn by the collaborators.

Abbasi et al. (2011) discuss the weighted collaboration of researcher and used social network analysis metrics to evaluate the scientific impact of individuals. In this article, the author used the total number of publications as a collaboration weight between collaborators.

Wang et al. (2011) discuss the weighted co-authorship network and used component analysis, publication frequency and degree centrality for finding the prominent actor in the network.

Liu et al. (2005) formed the collaboration network of digital library research community and proposed a new method for evaluation of the scientific impact of an individual called author rank and mentioned that this method gives a better result than social network analysis metrics. In this article author, consider the sum of the proportional counting of the total number of authors excluding self in a particular paper as a collaboration weight.

Liu et al. (2015) discuss the new method to construct a collaboration network. Here author used geometric series for calculation of share credit to all authors in a particular paper and the collaboration weight computed based on the law of gravity.