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Eugene C Johnsen

Biographic Data

ID3685448
NAMEEugene C Johnsen
GIVEN NAMESEugene C
FAMILY NAMEJohnsen
SIGNATUREJOHNSEN E C
AFFILIATIONSUniversity of California, Santa Barbara
VERIFIEDNo
TOTAL WORKS24
TOTAL CITATIONS205
AUTHOR COUNT24
EDITOR COUNT0
FIRST PUBLICATION YEAR1982
LATEST PUBLICATION YEAR2017
H-INDEX4
  • Status, Networks, and Opinion Change: An Experimental Investigation

    Open Access•Joseph Dippong, Will Kalkhoff et al.•ARTICLE•Social Psychology Quarterly•2017•Cited by: 4•References: 22

    This study evaluates two prominent sociological theories of interpersonal influence: status characteristics theory and social influence network theory. In application to status settings, we test social influence network theory and its established measurement model as well as a recent “modular integration” that operationalizes social influence network theory’s central constructs by incorporating assumptions from status characteristics theory. The …

  • Two steps to obfuscation

    Open Access•N E Friedkin, Eugene C Johnsen•ARTICLE•Social Networks•2014

  • Social Influence Network Theory: A Sociological Examination of Small Group Dynamics

    Open Access•N E Friedkin, Eugene C Johnsen•BOOK•Social Influence Network Theory•2011

    Social influence network theory presents a mathematical formalization of the social process of attitude changes that unfolds in a social network of interpersonal influences. This book brings the theory to bear on lines of research in the domain of small group dynamics concerned with changes of group members' positions on an issue, including the formation of consensus and of settled disagreement, via endogenous interpersonal influences, in which g…

  • Status, networks, and opinions: A modular integration of two theories

    Open Access•Will Kalkhoff, N E Friedkin et al.•CHAPTER•Advances in Group Processes•2010

    This chapter focuses on two theories in the landscape of research on social influence – status characteristics theory and social influence network theory – between which heretofore there has been little communication. We advance these two approaches by dovetailing them in a “modular integration” that retains the assumptions of each theory and extends their scope of application. Here, we concentrate on the extension of status characteristics theor…

  • Becoming a Science: Sociology at a Milestone

    Open Access•Eugene C Johnsen•ARTICLE•Contemporary Sociology A Journal…•2008•References: 3

    tating as linguistic tic you know intrud ing in much of modern speech. This is trivial of course but usage seems like a sop to those needing motivation. Far more problem atic is use of concepts that are never intro duced or are introduced later in book. On p. 4 we are told that the square root of a number is a radical of order two. Despite notation after sentence, a naive reader could be forgiven for wondering what is a 'radical'? In chapter 3, d…

  • Who Knows Your HIV Status II: Information Propagation Within Social Networks of Seropositive People

    Gene A Shelley, Peter D Killworth et al.•ARTICLE•Human Organization•2006

    We seek to explain on what basis people choose to tell stigmatizing information about themselves to others. In particular, are there any rules governing how such decisions are made? We asked 70 HIV-positive individuals whether they knew various items of knowledge about their network members, and vice versa. These items range from things which might be known easily (e.g., marital status), things which are more difficult to know (e.g., blood type),…

  • Investigating the Variation of Personal Network Size Under Unknown Error Conditions

    Open Access•Peter D Killworth, C Mccarty et al.•ARTICLE•Sociological Methods & Research•2006•Cited by: 4•References: 34

    This article estimates the variation in personal network size, using respondent data containing two systematic sources of error. The data are the proportion of respondents who, on average, claim to know zero, one, and two people in various subpopulations, such as “people who are widows under the age of 65” or “people who are diabetics.” The two kinds of error—transmission error (respondents are unaware that someone in their network is in a subpop…

  • Attitude Change, Affect Control, and Expectation States in the Formation of Influence Networks

    Open Access•N E Friedkin, Eugene C Johnsen•CHAPTER•Power and status•2004

    This paper works at the intersections of affect control theory, expectation states theory, and social influence network theory. First, we introduce social influence network theory into affect control theory. We show how an influence network may emerge from the pattern of interpersonal sentiments in a group and how the fundamental sentiments that are at the core of affect control theory (dealing with the evaluation, potency, and activity of self a…

  • Two interpretations of reports of knowledge of subpopulation sizes

    Open Access•Peter D Killworth, C Mccarty et al.•ARTICLE•Social Networks•2003

  • Control loss and Fayol’s gangplanks

    Open Access•N E Friedkin, Eugene C Johnsen•ARTICLE•Social Networks•2002

  • Comparing Two Methods for Estimating Network Size

    C Mccarty, Peter D Killworth et al.•ARTICLE•Human Organization•2001

    In this paper we compare two methods for estimating the size of personal networks using a nationally representative sample of the United States. Both methods rely on the ability of respondents to estimate the number of people they know in specific subpopulations of the U.S. (e.g., diabetics, Native Americans) and people in particular relation categories (e.g., immediate family, coworkers). The results demonstrate a remarkable similarity between t…

  • A social network approach to estimating seroprevalence in the United States

    Open Access•Peter D Killworth, Eugene C Johnsen et al.•ARTICLE•Social Networks•1998

  • Social positions in influence networks

    Open Access•N E Friedkin, Eugene C Johnsen•ARTICLE•Social Networks•1997

  • Eliciting representative samples of personal networks

    Open Access•C Mccarty, H R Bernard et al.•ARTICLE•Social Networks•1997

  • A social network approach to corroborating the number of Aids/HIV + victims in the US

    Open Access•Eugene C Johnsen, H R Bernard et al.•ARTICLE•Social Networks•1995

  • Who knows your HIV status? What HIV + patients and their network members know about each other

    Open Access•Gene A Shelley, H R Bernard et al.•ARTICLE•Social Networks•1995

  • Estimating the size of an average personal network and of an event subpopulation: Some empirical results

    Open Access•H R Bernard, Eugene C Johnsen et al.•ARTICLE•Social Science Research•1991•Cited by: 20•References: 1

  • Comparing four different methods for measuring personal social networks

    Open Access•H R Bernard, Eugene C Johnsen et al.•ARTICLE•Social Networks•1990

  • Estimating the size of personal networks

    Open Access•Peter D Killworth, Eugene C Johnsen et al.•ARTICLE•Social Networks•1990

  • Social influence and opinions

    N E Friedkin, Eugene C Johnsen•ARTICLE•Journal of Mathematical Sociology•1990•Cited by: 177•References: 12

    In this paper we describe an approach to the relationship between a network of interpersonal influences and the content of individuals’ opinions. Our work starts with the specification of social process rather than social equilibrium. Several models of social influence that have appeared in the literature are derived as special cases of the approach. Some implications for theories on social conflict and conformity also are developed in this paper

  • The Micro-Macro Connection: Exact Structure and Process

    Open Access•Eugene C Johnsen•CHAPTER•Applications of Combinatorics and…•1989

  • Structure and process: Agreement models for friendship formation

    Open Access•Eugene C Johnsen•ARTICLE•Social Networks•1986

  • Network macrostructure models for the Davis-Leinhardt set of empirical sociomatrices

    Open Access•Eugene C Johnsen•ARTICLE•Social Networks•1985

  • Acyclic triplets and social structure in complete signed digraphs

    Open Access•Eugene C Johnsen, H Gilman Mccann•ARTICLE•Social Networks•1982

  • Social influence and opinions

    N E Friedkin, Eugene C Johnsen•ARTICLE•Journal of Mathematical Sociology•1990•Cited by: 177•References: 12

    In this paper we describe an approach to the relationship between a network of interpersonal influences and the content of individuals’ opinions. Our work starts with the specification of social process rather than social equilibrium. Several models of social influence that have appeared in the literature are derived as special cases of the approach. Some implications for theories on social conflict and conformity also are developed in this paper

  • Estimating the size of an average personal network and of an event subpopulation: Some empirical results

    Open Access•H R Bernard, Eugene C Johnsen et al.•ARTICLE•Social Science Research•1991•Cited by: 20•References: 1

  • Status, Networks, and Opinion Change: An Experimental Investigation

    Open Access•Joseph Dippong, Will Kalkhoff et al.•ARTICLE•Social Psychology Quarterly•2017•Cited by: 4•References: 22

    This study evaluates two prominent sociological theories of interpersonal influence: status characteristics theory and social influence network theory. In application to status settings, we test social influence network theory and its established measurement model as well as a recent “modular integration” that operationalizes social influence network theory’s central constructs by incorporating assumptions from status characteristics theory. The …

  • Investigating the Variation of Personal Network Size Under Unknown Error Conditions

    Open Access•Peter D Killworth, C Mccarty et al.•ARTICLE•Sociological Methods & Research•2006•Cited by: 4•References: 34

    This article estimates the variation in personal network size, using respondent data containing two systematic sources of error. The data are the proportion of respondents who, on average, claim to know zero, one, and two people in various subpopulations, such as “people who are widows under the age of 65” or “people who are diabetics.” The two kinds of error—transmission error (respondents are unaware that someone in their network is in a subpop…

  • Acyclic triplets and social structure in complete signed digraphs

    Open Access•Eugene C Johnsen, H Gilman Mccann•ARTICLE•Social Networks•1982

  • Network macrostructure models for the Davis-Leinhardt set of empirical sociomatrices

    Open Access•Eugene C Johnsen•ARTICLE•Social Networks•1985

  • Structure and process: Agreement models for friendship formation

    Open Access•Eugene C Johnsen•ARTICLE•Social Networks•1986

  • The Micro-Macro Connection: Exact Structure and Process

    Open Access•Eugene C Johnsen•CHAPTER•Applications of Combinatorics and…•1989

  • Comparing four different methods for measuring personal social networks

    Open Access•H R Bernard, Eugene C Johnsen et al.•ARTICLE•Social Networks•1990

  • Estimating the size of personal networks

    Open Access•Peter D Killworth, Eugene C Johnsen et al.•ARTICLE•Social Networks•1990

  • Social influence and opinions

    N E Friedkin, Eugene C Johnsen•ARTICLE•Journal of Mathematical Sociology•1990•Cited by: 177•References: 12

    In this paper we describe an approach to the relationship between a network of interpersonal influences and the content of individuals’ opinions. Our work starts with the specification of social process rather than social equilibrium. Several models of social influence that have appeared in the literature are derived as special cases of the approach. Some implications for theories on social conflict and conformity also are developed in this paper

  • Estimating the size of an average personal network and of an event subpopulation: Some empirical results

    Open Access•H R Bernard, Eugene C Johnsen et al.•ARTICLE•Social Science Research•1991•Cited by: 20•References: 1

  • A social network approach to corroborating the number of Aids/HIV + victims in the US

    Open Access•Eugene C Johnsen, H R Bernard et al.•ARTICLE•Social Networks•1995

  • Who knows your HIV status? What HIV + patients and their network members know about each other

    Open Access•Gene A Shelley, H R Bernard et al.•ARTICLE•Social Networks•1995

  • Social positions in influence networks

    Open Access•N E Friedkin, Eugene C Johnsen•ARTICLE•Social Networks•1997

  • Eliciting representative samples of personal networks

    Open Access•C Mccarty, H R Bernard et al.•ARTICLE•Social Networks•1997

  • A social network approach to estimating seroprevalence in the United States

    Open Access•Peter D Killworth, Eugene C Johnsen et al.•ARTICLE•Social Networks•1998

  • Comparing Two Methods for Estimating Network Size

    C Mccarty, Peter D Killworth et al.•ARTICLE•Human Organization•2001

    In this paper we compare two methods for estimating the size of personal networks using a nationally representative sample of the United States. Both methods rely on the ability of respondents to estimate the number of people they know in specific subpopulations of the U.S. (e.g., diabetics, Native Americans) and people in particular relation categories (e.g., immediate family, coworkers). The results demonstrate a remarkable similarity between t…

  • Control loss and Fayol’s gangplanks

    Open Access•N E Friedkin, Eugene C Johnsen•ARTICLE•Social Networks•2002

  • Two interpretations of reports of knowledge of subpopulation sizes

    Open Access•Peter D Killworth, C Mccarty et al.•ARTICLE•Social Networks•2003

  • Attitude Change, Affect Control, and Expectation States in the Formation of Influence Networks

    Open Access•N E Friedkin, Eugene C Johnsen•CHAPTER•Power and status•2004

    This paper works at the intersections of affect control theory, expectation states theory, and social influence network theory. First, we introduce social influence network theory into affect control theory. We show how an influence network may emerge from the pattern of interpersonal sentiments in a group and how the fundamental sentiments that are at the core of affect control theory (dealing with the evaluation, potency, and activity of self a…

  • Who Knows Your HIV Status II: Information Propagation Within Social Networks of Seropositive People

    Gene A Shelley, Peter D Killworth et al.•ARTICLE•Human Organization•2006

    We seek to explain on what basis people choose to tell stigmatizing information about themselves to others. In particular, are there any rules governing how such decisions are made? We asked 70 HIV-positive individuals whether they knew various items of knowledge about their network members, and vice versa. These items range from things which might be known easily (e.g., marital status), things which are more difficult to know (e.g., blood type),…

  • Investigating the Variation of Personal Network Size Under Unknown Error Conditions

    Open Access•Peter D Killworth, C Mccarty et al.•ARTICLE•Sociological Methods & Research•2006•Cited by: 4•References: 34

    This article estimates the variation in personal network size, using respondent data containing two systematic sources of error. The data are the proportion of respondents who, on average, claim to know zero, one, and two people in various subpopulations, such as “people who are widows under the age of 65” or “people who are diabetics.” The two kinds of error—transmission error (respondents are unaware that someone in their network is in a subpop…

  • Becoming a Science: Sociology at a Milestone

    Open Access•Eugene C Johnsen•ARTICLE•Contemporary Sociology A Journal…•2008•References: 3

    tating as linguistic tic you know intrud ing in much of modern speech. This is trivial of course but usage seems like a sop to those needing motivation. Far more problem atic is use of concepts that are never intro duced or are introduced later in book. On p. 4 we are told that the square root of a number is a radical of order two. Despite notation after sentence, a naive reader could be forgiven for wondering what is a 'radical'? In chapter 3, d…

  • Status, networks, and opinions: A modular integration of two theories

    Open Access•Will Kalkhoff, N E Friedkin et al.•CHAPTER•Advances in Group Processes•2010

    This chapter focuses on two theories in the landscape of research on social influence – status characteristics theory and social influence network theory – between which heretofore there has been little communication. We advance these two approaches by dovetailing them in a “modular integration” that retains the assumptions of each theory and extends their scope of application. Here, we concentrate on the extension of status characteristics theor…

  • Social Influence Network Theory: A Sociological Examination of Small Group Dynamics

    Open Access•N E Friedkin, Eugene C Johnsen•BOOK•Social Influence Network Theory•2011

    Social influence network theory presents a mathematical formalization of the social process of attitude changes that unfolds in a social network of interpersonal influences. This book brings the theory to bear on lines of research in the domain of small group dynamics concerned with changes of group members' positions on an issue, including the formation of consensus and of settled disagreement, via endogenous interpersonal influences, in which g…

  • Two steps to obfuscation

    Open Access•N E Friedkin, Eugene C Johnsen•ARTICLE•Social Networks•2014

  • Status, Networks, and Opinion Change: An Experimental Investigation

    Open Access•Joseph Dippong, Will Kalkhoff et al.•ARTICLE•Social Psychology Quarterly•2017•Cited by: 4•References: 22

    This study evaluates two prominent sociological theories of interpersonal influence: status characteristics theory and social influence network theory. In application to status settings, we test social influence network theory and its established measurement model as well as a recent “modular integration” that operationalizes social influence network theory’s central constructs by incorporating assumptions from status characteristics theory. The …

Psychology (18 works) · Computer Science (17 works) · Complex Network Analysis Techniques (16 works) · Opinion Dynamics and Social Influence (16 works) · Mathematics (15 works) · Social Psychology (12 works) · Sociology (11 works) · Statistics (10 works) · Demography (7 works) · Econometrics (7 works)

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