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Whitman Richards

Biographic Data

ID4164100
NAMEWhitman Richards
GIVEN NAMESWhitman
FAMILY NAMERichards
SIGNATURERICHARDS W
AFFILIATIONSMassachusetts Institute of Technology
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS1
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR1948
LATEST PUBLICATION YEAR2014
H-INDEX1
  • The evolution and structure of social networks

    Open Access•Whitman Richards, Nicholas Wormald•ARTICLE•Network Science•2014•Cited by: 1•References: 8

    As social networks evolve, new nodes are linked to the large-scale organization already in place. We show that the combination of two simple algorithms, one the Barabasi-Albert preferential attachment proposal and the other a neighbor attachment rule, successfully generate networks exhibiting both the local and global characteristics of empirical data on social network structures. Ideally, one might hope that some coarse features of this linking …

  • The Relationship between Verbalization and Remote Association

    Whitman Richards, W J Richards et al.•ARTICLE•The Journal of General Psychology•1948

  • The evolution and structure of social networks

    Open Access•Whitman Richards, Nicholas Wormald•ARTICLE•Network Science•2014•Cited by: 1•References: 8

    As social networks evolve, new nodes are linked to the large-scale organization already in place. We show that the combination of two simple algorithms, one the Barabasi-Albert preferential attachment proposal and the other a neighbor attachment rule, successfully generate networks exhibiting both the local and global characteristics of empirical data on social network structures. Ideally, one might hope that some coarse features of this linking …

  • The Relationship between Verbalization and Remote Association

    Whitman Richards, W J Richards et al.•ARTICLE•The Journal of General Psychology•1948

  • The evolution and structure of social networks

    Open Access•Whitman Richards, Nicholas Wormald•ARTICLE•Network Science•2014•Cited by: 1•References: 8

    As social networks evolve, new nodes are linked to the large-scale organization already in place. We show that the combination of two simple algorithms, one the Barabasi-Albert preferential attachment proposal and the other a neighbor attachment rule, successfully generate networks exhibiting both the local and global characteristics of empirical data on social network structures. Ideally, one might hope that some coarse features of this linking …

Artificial Intelligence (1 work) · Association (psychology (1 work) · Complex network (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Data science (1 work) · Epistemology (1 work) · Evolutionary Game Theory and Cooperation (1 work) · Geography (1 work) · Language and cultural evolution (1 work)

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