Previous personalized hashtag recommendations have been able to recommend suitable hashtags for a given microblog. Despite their performance improvement, we argue that three challenges remain unexplored. First , prior studies capture user interests solely from user-hashtag interactions are dire...

A social network is an abstract concept consisting of the set of people with relationships linking pairs of humans. A new multidimensional model, which covers three main dimensions: relation layers, time windows and groups, is proposed in the paper. The dimensions have a common set of nodes, typically, corresponding to human beings Layers, in turn, reflect various relation types coming from dif...

to study art, sociologists have so far related it either to the economic base of the artistic product or to the artist's ideology or world-view or the class structure of the audience and art consumers. the importance of none of these factors could be denied; however, what is more important is the relation between these factors, the complex network of political, economic and social relations tha...

background and purpose: undoubtedly, social networks are being used extensively and are the most important communicative tool among students, especially at higher levels of education. we aimed to investigate the effect of social networks on education and academic learning. methods: this quasi-experimental study was conducted on 32 nursing students who were taking the cancer nursing course at ke...

BACKGROUND Extreme shyness in childhood arising from behavioral inhibition (BI) is among the strongest risk factors for developing social anxiety. Although no imaging studies of intrinsic brain networks in children with BI have been reported, adults with a history of BI exhibit altered functioning of frontolimbic circuits and enhanced processing of salient, personally relevant information. BI i...

The article investigates influence relation between two sets of agents in a social network. It proposes a logical system that captures propositional properties of this relation valid in all threshold models of social networks with the same topological structure. The logical system consists of Armstrong axioms for functional dependence and an additional Lighthouse axiom. The main results are sou...

With the increasing number of services, the need to locate relevant services remains essential. To satisfy the query of a service requester, available service providers has first to be discovered. This task has been heavily investigated from both industrial and academic perspectives based essentially on registers. However, they completely ignore the contribution of the social dimension. When in...

Social network analysis is emerging technology that focuses on pattern of interaction/relation among people, organization. Frequent subgroup detection is subpart of social network that reveals the hidden knowledge and reflect the behavior of entire social network. These subgroups are collection of nodes that share common characteristics and densely connected with each other. In this paper, an u...

Previous studies on adoption and diffusion of a new product in a social network commonly assumed a single tie between a pair of actors. That means they only looked at one type of relation, while analyzing a diffusion process. However, we may have multiple ties between a pair of actors as multiple relations can arise from different modes of interaction or because of different roles people play w...

In this paper, we propose a graphical model for multi-relational social network analysis based on latent variable models. Latent variable models are one of the successful approaches for social network analysis. These models assume a latent variable for each entity and then the probability distribution over relationships between entities is modeled via a function over latent variables. Here, we ...