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دسته بندی:
شبکه های اجتماعی - Social Networks
سال انتشار:
2017
عنوان انگلیسی مقاله:
Forming time-stable homogeneous groups into Online Social Networks
ترجمه فارسی عنوان مقاله:
تشکیل گروه های همگن زمان پایدار به شبکه های اجتماعی آنلاین
منبع:
Sciencedirect - Elsevier - Information Sciences, 414 (2017) 117-132. doi:10.1016/j.ins.2017.05.048
نویسنده:
Pasquale De Meo d, Fabrizio Messina b,a,∗, Domenico Rosaci a, Giuseppe M.L. Sarné c
چکیده انگلیسی:
In this work we investigate on the time-stability of the homogeneity – in terms of mutual
users’ similarity within groups – into real Online Social Networks by taking into account
users’ behavioral information as personal interests. To this purpose, we introduce a con
ceptual framework to represents the time evolution of the group formation in an OSN. The
framework includes a specific experimental approach that has been adopted along with a
flexible, distributed algorithm (U2G) designed to drive group formation by weighting two
different measures, mutual trust relationships and similarity, denoted by compactness. An
experimental campaign has been carried out on datasets extracted from two social net
works, CIAO and EPINIONS, and the results show that the time-stability of similarity mea
sure for groups formed by the algorithm U2G based on the sole similarity criterion is lower
than that of groups formed by considering similarity and trust together, even when the
weight assigned to the trust component is small.
Keywords: Online Social Network | Similarity | Homogeneity | Reputation | Trust
قیمت: رایگان
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