Academic team dynamic community discovery method based on temporal collaboration network and quality evaluation method

A dynamic community and discovery method technology, applied in the field of dynamic community discovery of academic teams, can solve problems such as the influence of community structure without considering the importance of nodes and the closeness of interaction

Active Publication Date: 2017-12-29
CENT SOUTH UNIV
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Problems solved by technology

In 2016, Rossetti et al.[10] proposed the TILES (Temporal Interactions a Local Edge Strategy) algorithm. In this algorithm, the network will not only add relationship edges over time, but also existing edges may disappear. Th

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  • Academic team dynamic community discovery method based on temporal collaboration network and quality evaluation method
  • Academic team dynamic community discovery method based on temporal collaboration network and quality evaluation method
  • Academic team dynamic community discovery method based on temporal collaboration network and quality evaluation method

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Embodiment Construction

[0067] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0068] The present invention proposes a dynamic community discovery algorithm for academic teams based on a temporal co-authorship network. By establishing a temporal co-authorship network model and detecting the importance of author nodes and changes in relationship edge strength in the co-authorship network in real time, it analyzes Track the evolution process of the academic team in the academic co-authoring network, create, expand, shrink, split, and die out in the community, so as to achieve the purpose of dynamic community discovery, and the accuracy of the algorithm is high. In addition, the present invention also proposes an academic team community division quality assessment method based on word features to assess the quality of community division, and the following public document information record data sets are used for exp...

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Abstract

The invention provides an academic team dynamic community discovery algorithm based on a temporal collaboration network. A temporal collaboration network model is established. On the basis of real-time detection of the importance of author nodes and the strength change of relation edges in a collaboration network, the evolution of an academic team in the academic collaboration network is analyzed and tracked, and a community is created, expanded, contracted, divided and disappeared in order to achieve the purpose of dynamic community discovery. The algorithm is of high accuracy. In addition, the invention provides an academic team community division quality evaluation method based on word features, which is used to evaluate the quality of community division. The algorithm is experimentally verified using a public document information record data set. The experimental results show that the algorithm is effective.

Description

technical field [0001] The invention relates to a method for discovering a dynamic community of an academic team based on a temporal co-authoring network. Background technique [0002] The national innovation system needs a group of high-level scientific research groups with independent innovation capabilities as an important part of it. How to effectively observe and analyze the evolution of research groups and comprehensively and objectively evaluate the overall performance of academic teams is a new topic in the selection and evaluation of scientific and technological innovation groups. The scientific research team is a whole naturally formed by long-term cooperation, and its complex evolution process is often hidden in the historical records of various academic activities such as scientific research workers co-publishing articles and joint research projects. Therefore, it is an important task in the field of complex network analysis to use the large-scale scientific and...

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Application Information

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IPC IPC(8): G06Q50/00
CPCG06Q50/01
Inventor 黄芳万文聪王向前张予琛章成源
Owner CENT SOUTH UNIV
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