In this study, we develop a theoretical model to investigate the association between social network properties, “content richness” (CR) in academic learning discourse, and performance. CR is the extent to which one contributes content that is meaningful, insightful and constructive to aid learning and by social network properties we refer to its structural, position and relationship attributes....

In a social network, adoption probability refers to the probability that a social entity will adopt a product, service, or opinion in the foreseeable future. Such probabilities are central to fundamental issues in social network analysis, including the influence maximization problem. In practice, adoption probabilities have significant implications for applications ranging from social network-b...

The availability of advanced social interaction sensing technologies provides fine grained data for social network analysis. Although traditional methods of gathering social network data may be subject to human ability to recall social details, people’s rating of their closeness to persons in their network is important. This study assesses the relationship amidst closeness ratings, sensed inter...

Social networks have small-world property, hierarchical community structure, and some other properties. This paper proposes models of networks with these properties and algorithm for community structure recognition. The models are useable for testing effectiveness and efficiency of different algorithms for social network analysis. © 2010 Published by Elsevier B.V.

This paper introduces and empirically explores the concept of an organizational reference group: the set of people an individual perceives as belonging to his or her work environment that defines the social world of work in which he or she engages. The concept is proposed to fill a gap in studies of social context. Scholars tend only to infer, not identify, the people an individual is aware of ...

Social network analysis has become an extremely popular research area, where the main focus is the understanding of networks’ structure. In this paper, we study the expansibility of large social graphs, a structural property based on the notion of expander graphs (i.e. sparse graphs with strong connectivity properties). It is widely believed that social networks have poor expansion properties, ...

The rapid development and expansion of the social services and social networking sites (SNSs) on the Internet has boosted interdisciplinary research on online communities as a part of social network analysis. Social networking creates a unique opportunity to establish new business contacts with people from unexplored markets to gain new customers or contractors. The goal of the paper is to pres...

Telecommunications’ industry evolves into a high competitive market which demands companies to establish an effective revenue assurance framework. Social network analysis can be used to increase the knowledge about the customers’ behavior, not just in terms of individual usage but mostly in relation to the customers’ connections and how they create communities according to their call and text m...

This article reports the results of a social network analysis (SNA) performed on the mother’s primary network of interaction in 15 Mexican American families in the city of El Paso, Texas, the neighborhood of La Villita, in Chicago, and the city of Lincoln, Nebraska. The goal of this study was to examine potential opportunities for Spanish use by her children as well as sources of information an...

How can we understand FOSS collaboration better? Can social issues that emerge be identified and addressed as they happen? Can the community heal itself, become more transparent and inclusive, and promote diversity? We propose a technique to address these issues by quantitative analysis and temporal visualization of social dynamics in FOSS communities. We used social network analysis metrics to...