DynComm

Q4 Computer Science
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引用次数: 0

Abstract

The analysis of dynamics in networks represents a great deal in the Social Network Analysis research area. To support students, teachers, developers, and researchers in this work, we introduce a novel R package, namely DynComm. It is designed to be a multi-language package used for community detection and analysis on dynamic networks. The package introduces interfaces to facilitate further developments and the addition of new and future developed algorithms to deal with community detection in evolving networks. This new package aims to abstract the programmatic interface of the algorithms, whether they are written in R or other languages, and expose them as functions in R.
网络动态分析在社会网络分析研究领域占有重要地位。为了支持学生、教师、开发人员和研究人员进行这项工作,我们介绍了一个新的R包,即DynComm。它被设计成一个多语言包,用于动态网络上的社区检测和分析。该软件包引入了接口,以促进进一步的开发,并增加了新的和未来开发的算法,以处理不断发展的网络中的社区检测。这个新包旨在抽象算法的可编程接口,无论它们是用R还是其他语言编写的,并将它们作为R中的函数公开。
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
16
期刊介绍: The International Journal of Open Source Software and Processes (IJOSSP) publishes high-quality peer-reviewed and original research articles on the large field of open source software and processes. This wide area entails many intriguing question and facets, including the special development process performed by a large number of geographically dispersed programmers, community issues like coordination and communication, motivations of the participants, and also economic and legal issues. Beyond this topic, open source software is an example of a highly distributed innovation process led by the users. Therefore, many aspects have relevance beyond the realm of software and its development. In this tradition, IJOSSP also publishes papers on these topics. IJOSSP is a multi-disciplinary outlet, and welcomes submissions from all relevant fields of research and applying a multitude of research approaches.
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