Abstract
Scientific research is currently considered as one of the key factors in the development of our life. It plays a significant role in managing our business, study, and work in a more flexible and convenient way. The most important aspect when it comes to scientific research is the level of collaboration among scientific researchers. This level should be maximized as much as possible in order to obtain more reliable solutions for our everyday issues. To this end, it is needed to understand the collaboration patterns among researchers and come up with convenient strategies for strengthening the scientific collaboration. The scientific collaboration among the University of Mosul researchers–which is our case in this study–has not yet been investigated or analyzed. In this work, we aim at revealing the patterns of the scientific collaboration of the scientific colleges in the University of Mosul. We generate a co-authorship network for the university; the generated network is based on the data we collected from each individual researcher. The generated co-authorship network reveals many interesting facts regarding the collaboration patterns among the university researchers.
Highlights
Collaboration networks or co-authorship networks are used to investigate the collaboration patterns that exist among scientific authors/researchers
The characteristics of the social networks of scientific collaborations can be a useful tool in understanding the collaboration patterns among researchers as presented in the distinguished of Barabasi et al in [5]. They considered the evolution of the social network of scientific collaboration in deeply understanding what is driving the collaboration patterns that exists among researchers
According to the data collected from the researchers of the University of Mosul (UOM) scientific colleges, we extracted statistics related to the published articles
Summary
Collaboration networks or co-authorship networks are used to investigate the collaboration patterns that exist among scientific authors/researchers. In a co-authorship network two or more authors are considered to be tied if they have co-authored in an article In such a network, nodes are represented as authors and the links among them indicate that they have co-authored an article or a scientific paper (see Figure 1). This work is based on the concepts of Complex Networks in the analysis approach. The field of complex networks is basically emerged from statistics and graph theory. Using this field of study enables us to deeply investigate the relations among network actors (authors). After generating the UOM co-authorship network, we believe that it is possible to reveal many facts about the actual situation in the research community of the UOM colleges
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