کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
974496 1480125 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integrated structure investigation in complex networks by label propagation
ترجمه فارسی عنوان
بررسی ساختار یکپارچه در شبکه های پیچیده از طریق انتشار برچسب
کلمات کلیدی
جامعه سلسله مراتبی و همپوشانی توپی و ناپایدار، پخش برچسب
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی


• Define several novel and effective influence measures.
• Explore influence distribution to propose a parameter-free propagation strategy.
• An integrated network structure investigation algorithm is proposed.
• Provide a soft-partitioning solution for overlapping nodes.

The investigation of network structure has important significance to understand the functions of various complex networks. The communities with hierarchical and overlapping structures and the special nodes like hubs and outliers are all common structure features to the networks. Network structure investigation has attracted considerable research effort recently. However, existing studies have only partially explored the structure features. In this paper, a label propagation based integrated network structure investigation algorithm (LINSIA) is proposed. The main novelty here is that LINSIA can uncover hierarchical and overlapping communities, as well as hubs and outliers. Moreover, LINSIA can provide insight into the label propagation mechanism and propose a parameter-free solution that requires no prior knowledge. In addition, LINSIA can give out a soft-partitioning result and depict the degree of overlapping nodes belonging to each relevant community. The proposed algorithm is validated on various synthetic and real-world networks. Experimental results demonstrate that the algorithm outperforms several state-of-the-art methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 448, 15 April 2016, Pages 68–80
نویسندگان
, , , ,