The structure analysis of the CSCWD conference's collaboration network

Collaboration networks are among some of the social networks and offer us the opportunity to study the structure underlying the networks. In this paper, we utilize the social network analysis (SNA) framework to understand what characterizes the social structure of the CSCWD conference's paper co-authorship network. It can potentially provide us with an understanding of the individuals and the network. We consider two scientists to be connected if they have authored a paper together, system like the co-authorship network of the conference is inherently dynamic, and so we represent it as a time-varying graph. Each graph is a static cumulative network. We then give results for the average distance and the diameter they show that this network forms a “small world”. We then also give the clustering coefficient demonstrating the presence of clustering of the collaboration between the scientists, as well as the increasing proportion of the giant component, it can serve as an additional support that the community would work well if it is densely connected. Through those figures, we also want to find some potential actions that can be taken to further develop the conference and other similar conferences.