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People readily use social categories in their daily interactions with others. Although many scholars have focused on social categorization, they have largely neglected the cognitive representation of stimuli as a basis of this process. The present work aims to determine what dimensions are commonly used to organize the social world. The main dimensions of the social mental map are extracted from sorting data pertaining to a wide variety of social stimuli. Dimensions reflecting conventionalism, age, gender, physical versus cognitive orientation, warmth, and deviance are revealed. Furthermore, we show important individual differences in the extent to which each of these dimensions are attended to. We also establish the stability and reliability of our findings in a follow-up and a replication study.

AbstractKnowledge map is an important and effective instrument for enterprise knowledge management. A large number of unordered knowledge resources in the enterprises bring about difficulties to the knowledge map construction. It is necessary to construct the enterprise knowledge map from a systematic perspective. Considering influences of individual's cognition on the organizational knowledge structure, this paper introduces social classification into the enterprise context and proposes a three‐level architecture for enterprise knowledge map construction, i.e. the individual knowledge tagging, the domain topic selection and the inter‐domain association analysis layer. In this architecture, domain serves as the basic unit to display knowledge and their relationships, as well as provides a pragmatic context for knowledge navigation and reuse. Incorporating the above elements, a method is formulated and applied to a real‐world case. Copyright © 2009 John Wiley & Sons, Ltd.

Although the categorization of novel social stimuli according to general qualities of gender, age, and race is known to be automatic and primordial, categorizing stimuli into more specific social subgroups (e.g., hippies or businesswomen) is much more informative and cognitively efficient. In this paper, we show that social stimuli are more likely to be grouped into subgroups with an intermediate degree of specificity than into broad, general categories or narrow, highly specific categories. Furthermore, we show that category membership at the intermediate subgroup level predicts social judgments more efficiently than category membership at a more general or more specific level. We discuss the consequences of our results for social cognition and cognitive categorization.