D
Douglas R. White
Researcher at University of California, Irvine
Publications - 116
Citations - 10172
Douglas R. White is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Kinship & Population. The author has an hindex of 34, co-authored 116 publications receiving 9611 citations. Previous affiliations of Douglas R. White include University of California, Berkeley & University of Pittsburgh.
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Network dynamics and field evolution : The growth of interorganizational collaboration in the life sciences
TL;DR: In this article, a recursive analysis of network and institutional evolution is offered to account for the decentralized structure of the commercial field of the life sciences, and four alternative logics of attachment are tested to explain the structure and dynamics of interorganizational collaboration in biotechnology using multiple novel methods.
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Structural cohesion and embeddedness: A hierarchical concept of social groups
James Moody,Douglas R. White +1 more
TL;DR: In this article, structural cohesion is defined as the minimum number of actors who, if removed from a group, would disconnect the group, and a structural dimension of embeddedness can then be defined through the hierarchical nesting of these cohesive structures.
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Centrality in valued graphs: A measure of betweenness based on network flow
TL;DR: A new measure of centrality, C, is introduced, based on the concept of network flows, which is defined for both valued and non-valued graphs and applicable to a wider variety of network datasets.
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Standard Cross-Cultural Sample
TL;DR: The CCCS has served as a basis for a cumulative series of data coded by diverse authors in hundreds of publications on many different types of societal characteristics and has been used for a wide variety of topics.
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Economic Networks: The New Challenges
Frank Schweitzer,Giorgio Fagiolo,Didier Sornette,Didier Sornette,Fernando Vega-Redondo,Fernando Vega-Redondo,Alessandro Vespignani,Douglas R. White +7 more
TL;DR: An approach that stresses the systemic complexity of economic networks and that can be used to revise and extend established paradigms in economic theory will facilitate the design of policies that reduce conflicts between individual interests and global efficiency, as well as reduce the risk of global failure by making economic networks more robust.