Analyzing the structure of a social network helps in gaining insights into interactions and
relationships among users while revealing the patterns of their online behavior. Network …

Influence diffusion is extensively studied in social networks for product or service promotion
and viral-marketing applications. This paper proposes two models for social influence …

In this era of exponential growth in the scale of data, information overload has become an
urgent problem, and the use of increasingly flexible sensor cloud systems (SCS) for data …

Network embedding aims to project each node to a low-dimensional representation while
maximally preserving network structure and inherent properties. It is attracting tremendous …

With multi-dimensional exploration toward oceans, enormous sensing data has been
generated with significant volume, velocity, variety, and heterogeneity. The resulting big …

Dynamic networks are widely used in the social, physical, and biological sciences as a
concise mathematical representation of the evolving interactions in dynamic complex …

Social influence is a hot topic in social network research, and this paper focuses on how to
search for the most influential friends for a target user. The key point is to measure the …

当前网络嵌入研究更多关注信息网络结构和结点之间一阶或高阶近似关系,
对于网络结点自身属性考虑较少. 本文提出一种嵌套的生成对抗网络模型N-GAN (Nesting …

In mobile social networks, members in a family or company usually generate a group where
people have the same relations with each other. These relations are categorized into two …

Abstract Online Social Networks are built on relationships between individuals. Moreover,
they are a space where particular events emerge more quickly than through traditional …