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Measuring Relative Standing in Small Groups and Bounded Social Networks

Bibliographic Data

ID11325762
AuthorsP Doreian (0000-0002-3301-7840, corresponding author)
Year1986
Volume49
Issue3
Pages247
Publication date1986-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueSocial Psychology Quarterly (JOURNAL)
Journal identifiersISSN: 0190-2725 • E-ISSN: 1939-8999
PublisherSAGE Publications (PUBLISHER • US)
DOI10.2307/2786807
OpenAlexW2334295779
LanguageEN
Citations received7
References cited8

A series of constructed graphs are used to examine the relative merits of some indexes of social standing in small groups and bounded social networks. The choice, Alexander, Katz and Hubbell measures all fail, in one way or another, to provide status scores that reflect adequately the relative standing of the nodes in these constructed graphs. A new measure of standing is proposed that works well both in the constructed data sets and a set of sociograms drawn from the bank Wiring Room data and Thurman's office data. Since the pioneering work of Moreno (1934) there has been an intermittent interest in measuring the relative standing of individuals in a small group or bounded social network. The basic intuitions underlying most of these measures are twofold, and focus on the contributions to the relative standing of individuals from others in the small group: First, individuals receiving many choices rank above those receiving few; and second, nominations from those ranking high contribute more to the standing of the nominee than nominations from those of low standing. These intuitions are reflected in the measure reported in this paper which is an iterated version of Hubbell's (1965) measure applicable to both binary and quantitative sociomatrices

Bounded function · Combinatorics · Data mining · Group (periodic table · Iterated function · Mathematical economics · Measure (data warehouse · Rank (graph theory · Ranking (information retrieval · Set (abstract data type · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social Power and Status Dynamics · Social Psychology · Artificial Intelligence

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    Thomas N Friemel•Netzwerkanalyse und Netzwerktheorie•2010

  • Netzwerkanalytische Methoden zur Identifizierung von Kommunikationsrollen

    Thomas N Friemel•Netzwerkanalyse und Netzwerktheorie•2008

  • Anatomie von Kommunikationsrollen

    Open Access•Thomas N Friemel•KZfSS Kölner Zeitschrift für…•2008

  • Centrality measures for disease transmission networks

    Open Access•David C Bell, John S Atkinson et al.•Social Networks•1999

  • A Graph-theoretic perspective on centrality

    Open Access•P Borgatti, Stephen P Borgatti et al.•Social Networks•2006

  • Centrality and network flow

    Open Access•P Borgatti, Stephen P Borgatti•Social Networks•2005

  • A Multigraph Approach to Social Network Analysis

    Open Access•Termeh Shafie•Journal of Social Structure•2015

  • The structure of American economy, 1919-1939

    Wassily W Leontief•The structure of American…•1976

  • A New Status Index Derived from Sociometric Analysis

    Open Access•Leo Katz•Psychometrika•1953

  • In the office

    Open Access•Blake Thurman•Social Networks•1979

  • A Method for Processing Sociometric Data

    C Norman Alexander•Sociometry•1963

  • Status and Contrastatus

    Frank Harary•Sociometry•1959

  • An Input-Output Approach to Clique Identification

    Charles H Hubbell•Sociometry•1965

  • Factoring and weighting approaches to status scores and clique identification

    Phillip Bonacich•Journal of Mathematical Sociology•1972

Unique citing works7
Citations per year0,26
Citation span1999 - 2015 (17)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 7

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