We propose a stochastic agglomerative algorithm to detect the local community of some given seed vertex/vertices in network. Instead giving deterministic binary output, our method assigns every vertex value that is probability this particular would be seed. The proposed procedure has several advantages over existing algorithms, including avoiding random tie-breaking, evaluating uncertainties, d...

      The deaf community living in Georgia unites about 2500 people. Deaf people on the territory of are a linguistic minority. communication language this members is Georgian Sign Language - GESL. One big problems that very worried large part do not know well or poorly state spoken language. Due to lack adequate knowledge language, avoid written communications even soc...

a study in egypt during june 2012-august 2013 revealed that there were a disastrous out break of foot and mouth disease where sat2 strain have been identified as the main reason for its  occurrence. trained and untrained persons routinely perform uncontrolled treatments leading to sever economic losses. the present paper represents an intervention that was developed to empower the community to ...

the change in the concept of social development over the last few decades, from the physical aspects to human dimensions has increased women’s participation in socio-economic activities and enhancement of their capabilities has been regarded as key strategies in sustainable development. the present study attempts to achieve the following objective: investigation of the impacts of ngo’s activiti...

though muslims have been living in nepal from the 15th century, they have started practicingtheir religious activities freely only after enactment of new civil code in 1963. this paper aims to explore the potentials and problems on the existing mosques, perception of the religious structures by muslim community and analysing of existing legal and institutional framework before drawing a conclus...

In this paper, a simple but efficient method of overlapping community detection is presented using local community gravitation in social networks. Given a highquality, non-overlapping partition generated by existing methods, this proposed method identifies the overlapping nodes from their surrounding partitioned communities according to their local community gravitation, with low computational ...