دانلود مقاله ISI انگلیسی شماره 79057
ترجمه فارسی عنوان مقاله

یک الگوریتم خوشه بندی نمودار اجماع برای شبکه های کارگردانی

عنوان انگلیسی
A consensus graph clustering algorithm for directed networks
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
79057 2016 15 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 54, 15 July 2016, Pages 121–135

ترجمه کلمات کلیدی
روش ابتکاری؛ تشخیص جامعه؛ شبکه های کارگردان
کلمات کلیدی انگلیسی
Heuristic method; Community detection; Directed networks
پیش نمایش مقاله
پیش نمایش مقاله  یک الگوریتم خوشه بندی نمودار اجماع برای شبکه های کارگردانی

چکیده انگلیسی

Finding groups of highly related vertices in undirected graphs has been widely investigated. Nevertheless, a very few strategies are specially designed for dealing with directed networks. In particular, strategies based on the maximization of the modularity adjusted to overcome the resolution limit for directed networks have not been developed. The analysis of the characteristics of the clusters produced by these approaches is highly important since among the most used strategies for detecting communities in directed networks are the modularity maximization-based algorithms for undirected graphs. Towards these remarks, in this paper we propose a consensus-based strategy, named ConClus, for providing partitions for directed networks guided by the adjusted modularity measure. In the computational experiments, we compared ConClus with benchmark strategies, including Infomap and OSLOM, by using hundreds of LFR networks. ConClus outperformed Infomap and was competitive with OSLOM even for graphs with high mixture index and small-sized clusters, to which modularity-based algorithms have limitations. ConClus outperformed all algorithms when considering the networks with the highest average and maximum in-degrees among the networks used in the experiments.