Phillip Bonacich

University of California, Los Angeles

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Elisa Jayne Bienenstock

Arizona State University

Philip Lu

Korea Institute for Advanced Study

Oscar Grusky

University of California, Los Angeles

Paulette Lloyd

United States Department of State

Mark Peyrot

Loyola University Maryland

James P. Kahan

Swansea Bay University Health Board

Douglas Kirby

San Diego State University

Gabriel Rossman

University of California, Los Angeles

John Light

Nicole Esparza

University of Southern California

Cooperative Institutions

University of California, Los Angeles

Stanford University

University of Washington

UCLA Health

University of Michigan–Ann Arbor

University of Pennsylvania

University of Wisconsin–Madison

University of California, Berkeley

Yale University

University of California System

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Power and Centrality: A Family of Measures

American Journal of Sociology (1987)

Phillip Bonacich

Although network centrality is generally assumed to produce power, recent research shows that this is not the case in exchange networks. This paper proposes a generalization of the concept of centrality that accounts for both the usual positive relationship between power and centrality and Cook et al.'s recent exceptional results.

Network theory

10.1086/228631

Cite

Citations (4,839)

Establishing a Metric from Assumptions about Linearity

Journal of the American Statistical Association (1976)

Phillip Bonacich Douglas Kirby

Abstract Three related methods for assigning interval scale values to a set of ordered categories are proposed, based on the assumption that certain patterns of linear regressions exist among a set of variables. Technique I requires that the second administration of a variable be a linear function of the first. Technique II requires that two variables each be linear functions of one another (“symmetric linearity”). Technique III requires at least three linear regressions among three variables. The category values that are consistent with the assumed patterns of linear regressions are unique up to a linear transformation.

Linearity

Linear predictor function

Linear map

Variables

10.1080/01621459.1976.10481476

Cite

Citations (2)

Using Assumptions of Linearity to Establish a Metric

Sociological Methodology (1976)

Phillip Bonacich Douglas Kirby

Linearity

10.2307/270710

Cite

Citations (4)

Using Boolean Algebra to Analyze Overlapping Memberships

Sociological Methodology (1978)

Phillip Bonacich

The overlap of membership among groups is often of sociological interest. There has been considerable work, for example, on interlocking directorates among corporations (Allen, 1974; Mariolis, 1975; Levine, 1972; Sonquist and Koenig, 1975; Warner and Unwalla, 1967). This work has focused on three issues. First, the amount of overlap has been used as an index of the degree of centralization in the American economy. Second, the pattern of overlap among boards of directors has been used to discover clusters of corporations that operate as well-connected cliques in the economy. Third, the role of certain types of corporations, such as banks, has been examined by looking at their position in the structure of interlocking directorates. Much of this work has not used very powerful methods.

Boolean algebra

10.2307/270805

Cite

Citations (35)

EXPERIMENTATION IN SOCIOLOGY

Phillip Bonacich John Light

Source

Cite

Citations (0)

Introduction to Mathematical Sociology

Princeton University Press eBooks (2012)

Phillip Bonacich Philip Lu

10.1515/9781400842452

Cite

Citations (63)

The Invasion of the Physicists

Social Networks (2004)

Phillip Bonacich

10.1016/j.socnet.2004.06.002

Cite

Citations (51)

Systems Analysis and Policy Planning: Applications in Defense.

American Sociological Review (1970)

Phillip Bonacich E. S. Quade Wayne I. Boucher

Abstract : The report examines the present and future usefulness of systems analysis as an approach to policy planning, particularly in matters of national security. The study considers the basic concepts of systems analysis, including the problem of selecting operationally useful objectives, measures of their attainment, and criteria; the treatment of uncertainty; the place and function of technological considerations in planning or evaluating advanced systems; the character and role of resource and cost-sensitivity analysis; and the nature and value of models in systems analysis, especially the models provided by mathematical game theory, simulation, scenario writing, political analysis, and gaming. Earlier conclusions are reexamined in the light of the successes and failures of systems analysis during the past decade. Newer method of analysis are discussed.

Systems analysis

10.2307/2093004

Cite

Citations (98)

Some unique properties of eigenvector centrality

Social Networks (2007)

Phillip Bonacich

10.1016/j.socnet.2007.04.002

Cite

Citations (1,367)

A single measure for point and interval predictions of coalition theories

Systems Research and Behavioral Science (1979)

Phillip Bonacich

Some theories of coalition formation (e.g., the weighted probability model) make specific point predictions about the probabilities that various coalitions will form, while others predict only that some coalitions should be more likely than others, without making specific predictions about probabilities. Similarly, some theories make point predictions about the distribution of rewards within a coalition, while others (e.g., the bargaining set) make range predictions rather than point predictions. These theories apply to decision processes of living systems at the levels of groups, organizations, societies, and supranational systems. A measure is developed for evaluating competitively these otherwise incomparable types of predictions. The measure, E, is the mean squared distance between the experimental distribution of proportions and the whole set of probability distributions consistent with the prediction. A "proportional reduction in error" version of E is also suggested.

10.1002/bs.3830240203

Cite

Citations (17)