Abstract

Based on the structure of citation network, the citation paths among papers, and the association strength such as coupling, co-citation and etc. between two papers are defined in this article. We give formulas to quantify the association strength in order to establish citation network model based on the citation path structure. Then, the OPTICS algorithm is brought into the scientific communities found model since it can solve the parameter’s setting problem. This method combines various kinds of path structures together and thus it contains more complete citation network information. Experiments and analysis reveal the reliability and validity of this method.

Highlights

  • Many researchers have been studying and mining scientific communities using citation network and analysis of the citation network has become an important tool for their research

  • A large amount of previous research has been done on citation analysis method, these studies and experiments are all one-sided, doing survey on certain aspects of the research, instead of a comprehensive vision

  • Considering the two parts represent the different association strength, we accumulate them by weights

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Summary

Introduction

Many researchers have been studying and mining scientific communities using citation network and analysis of the citation network has become an important tool for their research. R. Ichise designed a userinteracted community mining system, in which the values of co-author network parameter can be constructed variably in different needs of users’ purposes. Ichise designed a userinteracted community mining system, in which the values of co-author network parameter can be constructed variably in different needs of users’ purposes On that basis, they added the author-keyword schema and make a good attempt at clarifying research interests of different scientific communities [2]. A large amount of previous research has been done on citation analysis method, these studies and experiments are all one-sided, doing survey on certain aspects of the research, instead of a comprehensive vision. This article defines the association strength between authors and the association strength between papers The formulas of those definitions innovatively combine coupling, co-citation, co-author and other structure to make the system more comprehensive. The proposed OPTICS algorithm is not sensitive to parameter setting, and it can use heuristic algorithm to estimate the parameter and get good mining results of a large dataset

Build of Citation Network Based on the Citation Path Structure
OPTICS Clustering Algorithm
Design of Scientific Communities Found System
Experiment and Analysis
Conclusions
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