کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7379212 1480129 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel information cascade model in online social networks
ترجمه فارسی عنوان
یک مدل آبشار جدید اطلاعات در شبکه های اجتماعی آنلاین
کلمات کلیدی
مدل گسترش اطلاعات، زیرگرافی آبشار، شباهت گره، محبوبیت گره شبکه های اجتماعی،
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی
The spread and diffusion of information has become one of the hot issues in today's social network analysis. To analyze the spread of online social network information and the attribute of cascade, in this paper, we discuss the spread of two kinds of users' decisions for city-wide activities, namely the “want to take part in the activity” and “be interested in the activity”, based on the users' attention in “DouBan” and the data of the city-wide activities. We analyze the characteristics of the activity-decision's spread in these aspects: the scale and scope of the cascade subgraph, the structure characteristic of the cascade subgraph, the topological attribute of spread tree, and the occurrence frequency of cascade subgraph. On this basis, we propose a new information spread model. Based on the classical independent diffusion model, we introduce three mechanisms, equal probability, similarity of nodes, and popularity of nodes, which can generate and affect the spread of information. Besides, by conducting the experiments in six different kinds of network data set, we compare the effects of three mechanisms above mentioned, totally six specific factors, on the spread of information, and put forward that the node's popularity plays an important role in the information spread.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 444, 15 February 2016, Pages 297-310
نویسندگان
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