کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6854787 | 1437595 | 2018 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Structural correlation between communities and core-periphery structures in social networks: Evidence from Twitter data
ترجمه فارسی عنوان
همبستگی ساختاری بین جوامع و ساختارهای مرزی-محور در شبکه های اجتماعی: شواهد از داده های توییتر
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کلمات کلیدی
شبکه اجتماعی، ساختار جامعه، ساختار هسته-پیرامون، تشخیص جامعه، شناسایی محدوده مرزی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Social media, such as Twitter and Facebook, have become important venues for business and individuals. Social interactions between actors result in the formation of mesoâscale subgroup structures, such as communities. Community detection is a classic task of social network analysis. Identification of another mesoâscale structure, named core-periphery, arises recently. Much existing research discriminated communities from core-periphery structures, and performed the two tasks individually by completely different methodologies. The two mesoâscale structures can both attribute to unequal influence and asymmetric interactions of actors in social networks. This research tries to unify communities and core-periphery structures by regarding the two subgroup structures as the same thing, by which community structure characterizes the boundary of a subgroup and core-periphery structure characterizes its internal structure. Experiments are conducted on one-month twitter data, and results can provide empirical evidences that social communities always have core-periphery structures.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 111, 30 November 2018, Pages 91-99
Journal: Expert Systems with Applications - Volume 111, 30 November 2018, Pages 91-99
نویسندگان
Yang Jinfeng, Zhang Min, Shen Kathy Ning, Ju Xiaofeng, Xitong Guo,