Today, the trust has turned into one of the most beneficial solutions to improve recommender systems, especially in the collaborative filtering method. However, trust statements suffer from a number of shortcomings, including the trust statements sparsity, users' inability to express explicit trust for other users in most of the existing applications, etc. Thus to overcome these problems, this ...

For visualization of multivariable data, multivariate cube meets with the limitation of screen and human vision. Retinal variables are integrated into multivariate cube to enhance its visual characteristics. The selective feature of variables and associative feature of the values of the same variable are improved with the integration of retinal variable into the set of visual variables. The sel...

Influence maximization which asks for k-size seed set from a social network such that maximizing the influence over all other users (called inlfuence spread) has widely aŠracted aŠention due to its significant applications in viral markeing and rumor control. In real world scenarios, people are interested in the most influential users in particular topics, and want to subscribe the topicsof-int...

Influence maximization problem is a well known problem to find the top-k seed users who can maximize the spread of information in a social network. The primary concern is monte carlo simulations method is suffering with scalability issues while the selection of seed users .It takes days to find potential seed users in large datasets. In this paper, we propose a highly scalable algorithm for ide...

With the growing popularity of online social media, identifying influential users in these social networks has become very popular. Existing works have studied user attributes, network structure and user interactions when measuring user influence. In contrast to these works, we focus on user behavioural characteristics. We investigate the temporal dynamics of user activity patterns and how thes...

With the widespread usage of social media, there has been much effort on detecting influential users for different information propagation applications. An inherent limitation of such methods is that they can only detect influential users after such users show observable signals of influence. However, in many real world applications including a countercampaign, an organization needs a way to de...

Twitter has provided people with an effective way to communicate and interact with each other. It is an undisputable fact that people's influence plays an important role in disseminating information over the Twitter social network. Although a number of research work on finding influential users have been reported in the literature, they never really seek to distinguish and analyze different inf...

The GM-MDS conjecture of Dau et al. (ISIT 2014) speculates that the MDS condition, which guarantees the existence of MDS matrices with a prescribed set of zeros over large fields, is in fact sufficient for existence of such matrices over small fields. We prove this conjecture.

sociability of educational spaces is crucial to the quality of education because a major part of learning takes place through attending public spaces, acting in spaces, social interaction with peers, and collective life in public spaces. sociability provides for the users’ social needs. the present study seeks to explore the development of sociability in educational spaces through increasing op...

With the wide spread popularity of social networking sites (SNS), enterprise organizations have started to explore the business opportunities in SNS such as Facebook to conduct targeted marketing and reputation management. Customers or users tend to trust the opinion of other customers or users, especially those with prior experience of a product or service, rather than company marketing. One o...