Hierarchical organization of H. Eugene Stanley scientific collaboration community in weighted network representation
作者：
Highlights：
• Complexity characteristics of the scientific collaboration networks of several world renown scholars are studied.
• Scientific collaboration community of H. Eugene Stanley self-organizes into a scale-free hierarchy but this is seen exclusively in the weighted network representation.
• Such a network organization indicates that during its evolution the spread of weight gets stimulation to a balanced growth of interconnections among them.
• Collaboration networks of other world's outstanding and prolific scholars often develop a star-like form and the central hubs constitute outliers.
• Spectral decomposition of the normalised Laplacian matrices is shown to be efficient in disentangling internal community ties.
摘要
•Complexity characteristics of the scientific collaboration networks of several world renown scholars are studied.•Scientific collaboration community of H. Eugene Stanley self-organizes into a scale-free hierarchy but this is seen exclusively in the weighted network representation.•Such a network organization indicates that during its evolution the spread of weight gets stimulation to a balanced growth of interconnections among them.•Collaboration networks of other world's outstanding and prolific scholars often develop a star-like form and the central hubs constitute outliers.•Spectral decomposition of the normalised Laplacian matrices is shown to be efficient in disentangling internal community ties.
论文关键词：Complex weighted networks,Scientific collaboration,Communities,Scientometrics,Erdős number generalised
论文评审过程：Received 22 May 2017, Revised 21 September 2017, Accepted 25 September 2017, Available online 15 October 2017, Version of Record 15 October 2017.
论文官网地址：https://doi.org/10.1016/j.joi.2017.09.009
