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Multiple regression quadratic assignment procedures (MRQAP) tests are permutation tests for multiple linear regression model coefficients for data organized in square matrices of relatedness among n objects. Such a data structure is typical in social network studies, where variables indicate some type of relation between a given set of actors. We present a(More)
An analysis is conducted on the robustness of measures of centrality in the face of random error in the network data. We use random networks of varying sizes and densities and subject them (separately) to four kinds of random error in varying amounts. The types of error are edge deletion, node deletion, edge addition, and node addition. The results show(More)
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This study explores one of the contributors to group composition – the basis on which people choose others with whom they want to work. We use a combined model to explore individual attributes, relational attributes, and previous structural ties as determinants of work partner choice. Four years of data from participants in 33 small project groups were(More)
In this article, we study the conditions under which having ties that span organizational boundaries (bridging ties) are conducive to the generation of innovations. Whereas previous research has shown that bridging ties have a positive impact on innovative performance, our analysis of 276 R&D scientists and engineers reveals that there are no advantages(More)
This article develops a cultural agreement approach to organizational culture that emphasizes how clusters of individuals reinforce potentially idiosyncratic understandings of many aspects of culture including the structure of network relations. Building on recent work concerning Simmelian tied dyads (defined as dyads embedded in three-person cliques), the(More)
The world we live in is a complex socio-technical system. Although social, organizational and policy analysts have long recognized that groups, organizations, institutions and the societies in which they are embedded are complex systems; it is only recently that we have had the tools for systematically thinking about, representing, modelling and analyzing(More)
The spatial arrangement of social network data in graphs can influence viewers" perceptions of structural characteristics such as prominence, bridging and grouping. To study the extent of this effect, we conducted an experiment with 80 graduate students. Each student viewed three of five different spatial arrangements of the same network. We found that(More)
Heider's balance theory has been a cornerstone of structural explanations and explorations of network dynamics. Most frequently, Heider's theory is interpreted as inducing reciprocated and transitive ties among nodes in a graph. Empirical work consistently shows that these structural features (reciprocity and transitivity) occur in naturally emergent(More)