Evaluating Influential Nodes in Social Networks by Local Centrality with a Coefficient

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Evaluating Influential Nodes in Social Networks by Local Centrality with a Coefficient

Influential nodes are rare in social networks, but their influence can quickly spread to most nodes in the network. Identifying influential nodes allows us to better control epidemic outbreaks, accelerate information propagation, conduct successful e-commerce advertisements, and so on. Classic methods for ranking influential nodes have limitations because they ignore the impact of the topology ...

متن کامل

Identification of Influential Nodes in Social Networks

Understanding and controlling spreading dynamics in networks presupposes the identification of those influential nodes that will trigger an efficient information diffusion. It has been shown that the best spreaders are the ones located in the core of the network – as produced by the k-core decomposition. In this paper we further refine the set of the most influential nodes, showing that the nod...

متن کامل

Locating influential nodes via dynamics-sensitive centrality

With great theoretical and practical significance, locating influential nodes of complex networks is a promising issue. In this paper, we present a dynamics-sensitive (DS) centrality by integrating topological features and dynamical properties. The DS centrality can be directly applied in locating influential spreaders. According to the empirical results on four real networks for both susceptib...

متن کامل

The Influence of Location on Nodes’ Centrality in Location-Based Social Networks

Nowadays, due to the widespread use of social networks, they can be used as a convenient, low-cost, and affordable tool for disseminating all kinds of information and data among the massive users of these networks. Issues such as marketing for new products, informing the public in critical situations, and disseminating medical and technological innovations are topics that have been considered b...

متن کامل

Influential 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 کامل

ذخیره 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: ISPRS International Journal of Geo-Information

سال: 2017

ISSN: 2220-9964

DOI: 10.3390/ijgi6020035