Co-authorship detecting based on DBLP
Yan Yang · Journal of Natural Science of Heilongjiang University · 2010
Parsing the XML file based on DBLP,the authors were got the most coauthors who publish most papers.Find the conclusion that the number of coauthors and publications both followed the power law tail distribution.A co-authorship graph hard been areated for the authors who have more than 300 coauthors and detect the centric authors using improved betweenness fast algorithm.The new study fields were got,which the centric authors based on the papers they published in recent 3 years.The experiment shows it is a good result.It is significant to guide the computer scholars to hold the development direction of computer field.