Possible advantages of technology in educational context required the defining boundaries of formal and informal learning. Increasing opportunity to ubiquitous learning by technological support has revealed a question of how to discover the potential of individuals in the spontaneous environments such as social networks. This seems to be related with the question of what purposes in social netw...

in recent years, the data used for analysis of social networks become very huge and restrictive so that it can be used an appropriate and small sampled network of original network for analysis goals. Sampling social network is referred to collect a small subgraph of original network with high property similarities between them. Due to important impact of sampling on the social network analyses,...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...

boolean byte class double else extends final finally float if implements int interface long native new private public return short static super synchronized this throw throws transient try void volatile while ( ) [ ] { } ; , . = Figure 1: Java keywords.

World Wide Web is a rich source of information. It continues to expand in size and complexity with the increasing use of the internet and social media but how to retrieve relevant documents on the Web is becoming a challenge. In this paper there is discussion about the goals, challenges and importance of similarity functions in information retrieval in wide area networks. This paper discusses t...

Disaster management that uses Web-based technology to enhance user collaboration around disasters is an emergent field. A number of dedicated 'disaster portals' exist but do not integrate large social networks such as Twitter and Facebook. These social networking sites can facilitate the analysis and sharing of collective intelligence around disaster information on a far greater scale by increa...

Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. In this paper, we propose a dynamic stochastic block model for finding communities and their evolutions in a dynamic social network. The proposed model captures the evolution of communities by explicitly modeling the tra...

Online social networks have seen a rapid growth in recent years. A key aspect of many of such networks is that they are rich in content and social interactions. Users of social networks connect with each other and forming their own communities. With the evolution of huge communities hosted by such websites, users suffer from managing information overload and it is become hard to extract useful ...

Online social networks have seen a rapid growth inrecent years. A key aspect of many of such networks is that theyare rich in content and social interactions. Users of socialnetworks connect with each other and forming their owncommunities. With the evolution of huge communities hosted bysuch websites, users suffer from managing information overloadand it is become hard ...

A growing source of concern is that the privacy of individuals can be violated by linking information from multiple sources. For example, the linking of a person’s anonymized information with other information about that person can lead to de-anonymization of the person. To investigate the social risks of such linking, we investigated the use of social networks for background checking, which is...