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mgao97/Easy-Graph: EasyGraph: A Multifunctional, Cross-Platform and Effective Library for Interdisciplinary Network Analysis

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 15 Jun 2023Publisher:Zenodo
Authors: Gao, Min; Li, Zheng; Ruichen Li; Chenhao Cui; Xinyuan Chen; Bodian Ye; Yupeng Li; +4 Authors
Code repository: https://github.com/mgao97/Easy-Graph/tree/v0.2a40

doi: 10.5281/zenodo.8041952 , 10.5281/zenodo.8041737

mgao97/Easy-Graph: EasyGraph: A Multifunctional, Cross-Platform and Effective Library for Interdisciplinary Network Analysis

Abstract

EasyGraph is an open-source graph processing library. It is mainly written in Python and supports analysis for undirected graphs and directed graphs. EasyGraph supports various formats of graph data and covers a series of important graph mining algorithms for community detection, structural hole spanner detection, graph embedding, and motif detection. Moreover, EasyGraph implements some key elements using C++ and introduces multiprocessing optimization to achieve better efficiency. You can find the latest source code for EasyGraph at https://github.com/easy-graph/Easy-Graph.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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