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Journal ArticleDOI

Social Network Analysis: Methods and Applications.

About: This article is published in Contemporary Sociology.The article was published on 1996-03-01. It has received 616 citations till now. The article focuses on the topics: Social network analysis (criminology).
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Journal ArticleDOI
04 Jun 1998-Nature
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Abstract: Networks of coupled dynamical systems have been used to model biological oscillators, Josephson junction arrays, excitable media, neural networks, spatial games, genetic control networks and many other self-organizing systems. Ordinarily, the connection topology is assumed to be either completely regular or completely random. But many biological, technological and social networks lie somewhere between these two extremes. Here we explore simple models of networks that can be tuned through this middle ground: regular networks 'rewired' to introduce increasing amounts of disorder. We find that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs. We call them 'small-world' networks, by analogy with the small-world phenomenon (popularly known as six degrees of separation. The neural network of the worm Caenorhabditis elegans, the power grid of the western United States, and the collaboration graph of film actors are shown to be small-world networks. Models of dynamical systems with small-world coupling display enhanced signal-propagation speed, computational power, and synchronizability. In particular, infectious diseases spread more easily in small-world networks than in regular lattices.

39,297 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a model that incorporates this overall argument in the form of a series of hypothesized relationships between different dimensions of social capital and the main mechanisms and proces.
Abstract: Scholars of the theory of the firm have begun to emphasize the sources and conditions of what has been described as “the organizational advantage,” rather than focus on the causes and consequences of market failure. Typically, researchers see such organizational advantage as accruing from the particular capabilities organizations have for creating and sharing knowledge. In this article we seek to contribute to this body of work by developing the following arguments: (1) social capital facilitates the creation of new intellectual capital; (2) organizations, as institutional settings, are conducive to the development of high levels of social capital; and (3) it is because of their more dense social capital that firms, within certain limits, have an advantage over markets in creating and sharing intellectual capital. We present a model that incorporates this overall argument in the form of a series of hypothesized relationships between different dimensions of social capital and the main mechanisms and proces...

15,365 citations

Journal ArticleDOI
TL;DR: In this article, the authors combine the concept of weak ties from social network research and the notion of complex knowledge to explain the role of weak links in sharing knowledge across organization subunits.
Abstract: This paper combines the concept of weak ties from social network research and the notion of complex knowledge to explain the role of weak ties in sharing knowledge across organization subunits in a...

5,947 citations

Journal ArticleDOI
TL;DR: This work states that applying complex adaptive systems models to strategic management leads to an emphasis on building systems that can rapidly evolve effective adaptive solutions, and new types of models that incorporate these elements will push organization science forward.
Abstract: Complex organizations exhibit surprising, nonlinear behavior. Although organization scientists have studied complex organizations for many years, a developing set of conceptual and computational tools makes possible new approaches to modeling nonlinear interactions within and between organizations. Complex adaptive system models represent a genuinely new way of simplifying the complex. They are characterized by four key elements: agents with schemata, self-organizing networks sustained by importing energy, coevolution to the edge of chaos, and system evolution based on recombination. New types of models that incorporate these elements will push organization science forward by merging empirical observation with computational agent-based simulation. Applying complex adaptive systems models to strategic management leads to an emphasis on building systems that can rapidly evolve effective adaptive solutions. Strategic direction of complex organizations consists of establishing and modifying environments within which effective, improvised, self-organized solutions can evolve. Managers influence strategic behavior by altering the fitness landscape for local agents and reconfiguring the organizational architecture within which agents adapt.

1,822 citations

Journal ArticleDOI
TL;DR: This paper explored the social processes that produce penalties for illegitimate role performance in markets that are significantly mediated by product critics and found that failure to gain reviews by the critics who specialize in a product's intended category reflects confusion over the product's identity and that such illegitimacy should depress demand.
Abstract: This article explores the social processes that produce penalties for illegitimate role performance. It is proposed that such penalties are illuminated in markets that are significantly mediated by product critics. In particular, it is argued that failure to gain reviews by the critics who specialize in a product's intended category reflects confusion over the product's identity and that such illegitimacy should depress demand. The validity of this assertion is tested among public American firms in the stock market over the years 1985–94. It is shown that the stock price of an American firm was discounted to the extent that the firm was not covered by the securities analysts who specialized in its industries. This analysis holds implications for the study of role conformity in both market and nonmarket settings and adds sociological insight to the recent “behavioral” critique of the prevailing “efficient‐market” perspective on capital markets.

1,785 citations