Recently, social networks provide some rich resources of heterogeneous data which their analysis can lead to discover unknown information and relations within such networks. Users in online social networks tend to form community groups based on common location, interests, occupation, etc. Hence, communities play special roles in the structure–function relationship. Therefore, detecting signific...

Frequently, social networks are studied in their own right with analyses devoid of contextual details. Yet contextual features – both social and spatial – can have impacts on the networks formed within them. This idea is explored with five empirical networks representing different contexts and the use of distinct modeling strategies. These strategies include network visualizations, QAP regressi...

Hypertext advanced software for organizing information according to webs of conceptual, rather than symbolic, links has recently provoked humanists to reconsider post-structuralist semiotic concepts. Debates about the design and uses of hypertext, among both software developers and humanists, reflect a conflict between two problematic views of text: as a medium for social interaction, and as a ...

An important kind of tacit knowledge in the context of the Semantic Web are the social communication structures among heterogeneous knowledge sources and users. Communication structures heavily influence the way knowledge is generated and used, because in a context of distributed and autonomous information sources like in the Semantic Web, knowledge is constituted and adapted pragmatically thro...

Interpersonal ties are responsible for the structure of social networks and the transmission of information through these networks. Different types of social ties have essentially different influence on people. Awareness of the types of social ties can benefit many applications such as recommendation and community detection. For example, our close friends tend to move in the same circles that w...

It is well known that different types of social ties have essentially different influence on people. However, users in online social networks rarely categorize their contacts into “family”, “colleagues”, or “classmates”. While a bulk of research has focused on inferring particular types of relationships in a specific social network, few publications systematically study the generalization of th...

Exponential growth of social media consumption demands e‚ective user interests-social contents modeling for more personalized recommendation and social media summarization. However, due to the heterogeneous nature of social contents, traditional approaches lack the ability of capturing the hidden semantic correlations across these multi-modal data, which leads to semantic gaps between social co...

I study the welfare effects of a lack of common knowledge in a dynamic price-setting model with incomplete nominal adjustment due to incomplete, heterogeneous information. I identify two welfare effects of informational heterogeneity: First, it affects the dynamic adjustment of prices in response to aggregate shocks, and thereby the magnitude of aggregate consumption volatility. Second, informa...