Achievement of diverse economic, social, environment conservation etc. goals development greatly depends on the specific system of governance in different countries, industries, regions, communities, etc. [1-7]. Having in mind the importance of agrarian sector (in terms of employed resources, contribution to individuals and social welfare, positive and/or negative impacts on environment, etc.),...

With the dawn of social network and its attractiveness, people are interested to share their experience, such as rating, reviews, etc. which helps to recommend the items of user interest. The potential growth of the internet results the use of social networks such as Face book, Twitter, linked-in etc. which produces huge amount of information (data), which leads to overwhelming. To overcome ove...

The social user is characterized by his social activity like sharing information, making relationships, etc. With the evolution of social content, the user needs more accurate information that reflects his interests. We focus on analyzing user’s interests which are key elements for improving adaptation (recommendation, personalization, etc.). In this article, we are interested to overcome issue...

This paper presents work in progress regarding utilization of social network information for mobile applications. Primarily a number of challenges are identified, such as how to mine data from multiple social networks, how to integrate and consolidate social networks, and how to manage semantic information for mobile applications. The challenges are discussed from a semantic Web perspective usi...

In this paper we suggest that social robots should not mirror exactly human social behavior (facial expressions, language, etc) but need to be able to produce believable social behaviors that provide a minimal set of actions by which human-companion cooperation can be achieved. For implementing such an ethologically inspired social robot behavior, a platform based on fuzzy automaton (fuzzy stat...

My research interests span the areas of data mining, machine learning, and social network analysis. A common thread in my research is understanding the different types of interactions that occur within social networks, and their effects on the users’ behavior. In particular, my research focuses on reasoning in dynamic, multi-modal, multi-relational network settings, where there exist multiple e...

Opportunistic Mobile Social Network (MSN) is a kind of Delay Tolerant Network (DTN) in which nodes are mobile with social characteristics. Users in such network carry data, move and forward it to others for information dissemination. To enable efficient data routing in opportunistic MSNs, the social metrics of users, such as mobility pattern, social centrality, community and etc. are leveraged ...