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开源社区通信网络的能量谱行为

Energy Spectral Behaviors of Communication Networks of Open-Source Communities.

作者信息

Yang Jianmei, Yang Huijie, Liao Hao, Wang Jiangtao, Zeng Jinqun

机构信息

School of Business Administration, South China University of Technology, Guangzhou, P. R. China.

Business School, University of Shanghai for Science and Technology, Shanghai, P. R. China.

出版信息

PLoS One. 2015 Jun 5;10(6):e0128251. doi: 10.1371/journal.pone.0128251. eCollection 2015.

DOI:10.1371/journal.pone.0128251
PMID:26047331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4457875/
Abstract

Large-scale online collaborative production activities in open-source communities must be accompanied by large-scale communication activities. Nowadays, the production activities of open-source communities, especially their communication activities, have been more and more concerned. Take CodePlex C # community for example, this paper constructs the complex network models of 12 periods of communication structures of the community based on real data; then discusses the basic concepts of quantum mapping of complex networks, and points out that the purpose of the mapping is to study the structures of complex networks according to the idea of quantum mechanism in studying the structures of large molecules; finally, according to this idea, analyzes and compares the fractal features of the spectra in different quantum mappings of the networks, and concludes that there are multiple self-similarity and criticality in the communication structures of the community. In addition, this paper discusses the insights and application conditions of different quantum mappings in revealing the characteristics of the structures. The proposed quantum mapping method can also be applied to the structural studies of other large-scale organizations.

摘要

开源社区中的大规模在线协作生产活动必须伴随着大规模的通信活动。如今,开源社区的生产活动,尤其是其通信活动,越来越受到关注。以CodePlex C#社区为例,本文基于真实数据构建了该社区12个时期通信结构的复杂网络模型;然后讨论了复杂网络量子映射的基本概念,并指出映射的目的是按照研究大分子结构时的量子机制思想来研究复杂网络的结构;最后,根据这一思想,分析并比较了网络不同量子映射中频谱的分形特征,得出该社区通信结构中存在多重自相似性和临界性的结论。此外,本文还讨论了不同量子映射在揭示结构特征方面的见解和应用条件。所提出的量子映射方法也可应用于其他大规模组织的结构研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360a/4457875/dad0aa41fd72/pone.0128251.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360a/4457875/7d6f7c98618b/pone.0128251.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360a/4457875/791b6015907a/pone.0128251.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360a/4457875/dad0aa41fd72/pone.0128251.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360a/4457875/7d6f7c98618b/pone.0128251.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360a/4457875/791b6015907a/pone.0128251.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360a/4457875/dad0aa41fd72/pone.0128251.g003.jpg

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本文引用的文献

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Network-driven reputation in online scientific communities.在线科学社区中由网络驱动的声誉
PLoS One. 2014 Dec 2;9(12):e112022. doi: 10.1371/journal.pone.0112022. eCollection 2014.
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