Two evidential data based models for influence maximization in Twitter
نویسندگان
چکیده
منابع مشابه
Two Evidential Data Based Models for Influence Maximization in Twitter
Influence maximization is the problem of selecting a set of influential users in the social network. Those users could adopt the product and trigger a large cascade of adoptions through the “word of mouth” effect. In this paper, we propose two evidential influence maximization models for Twitter social network. The proposed approach uses the theory of belief functions to estimate users influenc...
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هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
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Influence maximization is the problem of finding a set of users in a social network, such that by targeting this set, one maximizes the expected spread of influence in the network .In this work, I am proposing a new algorithm drawing inspiration from the works done in the same field by [9] and [10]. The main motive behind this work is to emulate the relationship between the fields of Community ...
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We study influence maximization problems over social networks, in the presence of competition. Our focus is on diffusion processes within the family of threshold models. Motivated by the general lack of positive results establishing monotonicity and submodularity of the influence function for threshold models, we introduce a general class of switching-selection threshold models where the switch...
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ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2017
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2017.01.014