new concepts have formed in transition of traditional urban planning concept that their essence refers to sociology and even psychology and so has made urban planning interdisciplinary concept, could be titled social capital and sense of place and participation. in fact places have two aspects, material and immaterial and can form emotional feeling among its residents. these feeling which led t...

In current social psychology, the self is conceptualized as a “set of beliefs” (Baumeister, 1998). As there is no direct way to observe the self, a large part of self-knowledge remains tacit. Researchers mostly analyze “traces of the self” represented in language, for example as metaphors. It is argued that language can be conceptualized as symbolic environment individuals are socialized into m...

Visual analytics is a subdomain of data analysis which combines both human and machine analytical abilities and is applied mostly in decision-making and data mining tasks. Triclustering, based on Formal Concept Analysis (FCA), was developed to detect groups of objects with similar properties under similar conditions. It is used in Social Network Analysis (SNA) and is a basis for certain types o...

Although successful entry into childhood peer groups is a prerequisite for development of self-concept, social skills, and school successes, little is known about real-world attempts to penetrate social group boundaries. The authors collected more than 600 adolescent accounts of group rejections, as well as regrets concerning the failure to voice disagreement. Narrative accounts revealed six re...

Social network data has been modeled with several approaches, including Sociogram and Sociomatrices, which are popular and comprehensive. Similar to these we have developed here a novel modeling technique based on granular computing theory and fuzzy neighborhood systems, which provides a uniform framework to represent social networks. In this model, a social network is represented with a collec...

Mining data streams is one of the main studies in machine learning area due to its application in many knowledge areas. One of the major challenges on mining data streams is concept drift, which requires the learner to discard the current concept and adapt to a new one. Ensemble-based drift detection algorithms have been used successfully to the classification task but usually maintain a fixed ...

Simple models of agents have been used to study emergent behaviour in social systems. However, when considering the evolution of values in human societies, there is a need for the consideration of more complex agent models, which take into account uncertainty in human thinking. This characteristic can be addressed by using fuzzy logic in the specification of the attributes that describe agents ...

Alcohol consumption is often linked to a broad range of social and health problems, yet alcohol also plays a fundamental role in social bonding between people. This paper considers the potential of social marketing to contribute to alcohol consumption reduction and reframe social norms that encourage „problem‟ drinking. Based on qualitative research with a variety of Scottish drinkers, the pape...