Discovering Multiple Diffusion Source Nodes in Social Networks
نویسندگان
چکیده
منابع مشابه
Discovering Influential Nodes in Social Networks through Community Finding
Finding influential nodes in a social network has many practical applications in such areas as marketing, politics and even disease control. Proposed methods often take greedy approaches to find the best k nodes to activate so that the diffusion of activation will spread to the largest number of nodes. In this paper, we study the effects of using a community finding approach to not only maximiz...
متن کاملDiscovering Influential Nodes for SIS Models in Social Networks
We address the problem of efficiently discovering the influential nodes in a social network under the susceptible/infected/susceptible (SIS) model, a diffusion model where nodes are allowed to be activated multiple times. The computational complexity drastically increases because of this multiple activation property. We solve this problem by constructing a layered graph from the original social...
متن کاملInfluential Nodes in a Diffusion Model for Social Networks
We study the problem of maximizing the expected spread of an innovation or behavior within a social network, in the presence of “word-of-mouth” referral. Our work builds on the observation that individuals’ decisions to purchase a product or adopt an innovation are strongly influenced by recommendations from their friends and acquaintances. Understanding and leveraging this influence may thus l...
متن کاملMultiple Factors-Aware Diffusion in Social Networks
Information diffusion is a natural phenomenon that information propagates from nodes to nodes over a social network. The behavior that a node adopts an information piece in a social network can be affected by different factors. Previously, many diffusion models are proposed to consider one or several fixed factors. The factors affecting the adoption decision of a node are different from one to ...
متن کاملDiscovering Spammers in Social Networks
As the popularity of the social media increases, as evidenced in Twitter, Facebook and China’s Renren, spamming activities also picked up in numbers and variety. On social network sites, spammers often disguise themselves by creating fake accounts and hijacking normal users’ accounts for personal gains. Different from the spammers in traditional systems such as SMS and email, spammers in social...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2014
ISSN: 1877-0509
DOI: 10.1016/j.procs.2014.05.040