A method for dividing a network of academic cooperation authors

A network division, the author's technology, applied in the field of community discovery, can solve problems such as the impact of unbalanced distribution of data between clustering effect classes

Inactive Publication Date: 2018-12-07
JILIN UNIV
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  • Application Information

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Problems solved by technology

However, studies have shown that the clustering effect of the c-means clustering algorithm will be affected by the u...

Method used

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  • A method for dividing a network of academic cooperation authors
  • A method for dividing a network of academic cooperation authors
  • A method for dividing a network of academic cooperation authors

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Experimental program
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Embodiment

[0057] A network of co-authors with 1,712,433 authors was downloaded from https: / / www.aminer.cn / billboard / aminernetwork, named AMiner. Through the division method described in the present invention, 69,723 initial clustering centers were determined in this network, and finally 69,723 academic communities were found. The scales of different academic communities vary greatly. The largest community contains 555 authors. Some communities have less than 10 authors. Table 1 lists the statistics of the discovered academic communities, only a small fraction of the academic communities have more than 100 researchers. Thanks to the good performance of the proposed algorithm for unbalanced data, we found a huge number of academic communities with a small number of researchers in the AMiner network.

[0058] Table 1 Statistics of the academic community

[0059] Academic community size (number of authors)

number of academic communities

>500

2

400～500 ...

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Abstract

The invention discloses a method for dividing a network of academic cooperation authors, belonging to the technical field of complex network analysis, wherein the method comprises the following steps:1) downloading paper publication data of a certain discipline or a certain period of time from an academic social network or an academic journal; 2) constructing collaborative author network, whereinin the downloaded paper publishing information, all the authors are the vertices of the co-author network after de-duplication, if two authors have co-published papers, then one edge should connect the vertices represented by the two authors, and the number of papers published by the two authors should be the weight between the two vertices. 3) dividing a collaborative author network according tothe improved c-means algorithm, the improved algorithm having the good clustering performance for the unbalanced data set; 4) outputting an academic community dividing result. The method can mine anacademic community with a small number of vertices in a large-scale collaborative author network.

Description

technical field [0001] The invention belongs to the technical field of community discovery, in particular to a network division method for academic co-authors. Background technique [0002] Complex network is an abstraction of complex system. In reality, many complex systems can be described and analyzed with the relevant characteristics of complex network. Therefore, the study of complex networks has always been a research hotspot in many fields. A complex network is composed of a series of nodes and edges connecting nodes. Nodes represent individuals in the system, and edges represent connections between individuals. A common feature of complex networks is the existence of community structures, and the entire network can be regarded as composed of many communities. A community is a subgraph of the entire network, consisting of nodes and the edges connecting them. Nodes in the same community are closely connected, while nodes in different communities are sparsely connect...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F2216/03G06F18/23213
Inventor 刘云刘富周淼磊康冰侯涛王柯王婧媛
Owner JILIN UNIV
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