Roger Th A J Leenders

Biographic Data

ID3889604
NAMERoger Th A J Leenders
GIVEN NAMESRoger Th A J
FAMILY NAMELeenders
SIGNATURELEENDERS R T A J
AFFILIATIONSUniversity of Groningen
VERIFIEDNo
TOTAL WORKS10
TOTAL CITATIONS42
AUTHOR COUNT8
EDITOR COUNT2
FIRST PUBLICATION YEAR1995
LATEST PUBLICATION YEAR2023
H-INDEX3

  • How fast do we forget our past social interactions? Understanding memory retention with parametric decays in relational event models

    Open AccessGiuseppe Arena, Joris Mulder et al.ARTICLENetwork Science2023Cited by: 4References: 4

    In relational event networks, endogenous statistics are used to summarize the past activity between actors. Typically, it is assumed that past events have equal weight on the social interaction rate in the (near) future regardless of the time that has transpired since observing them. Generally, it is unrealistic to assume that recently past events affect the current event rate to an equal degree as long-past events. Alternatively one may consider…

  • Network Autocorrelation Modeling: A Bayes Factor Approach for Testing (Multiple) Precise and Interval Hypotheses

    Open AccessD Dittrich, Roger Leenders et al.ARTICLESociological Methods & Research2019References: 58

    Currently available (classical) testing procedures for the network autocorrelation can only be used for falsifying a precise null hypothesis of no network effect. Classical methods can be neither used for quantifying evidence for the null nor for testing multiple hypotheses simultaneously. This article presents flexible Bayes factor testing procedures that do not have these limitations. We propose Bayes factors based on an empirical and a uniform…

  • Bayesian estimation of the network autocorrelation model

    Open AccessD Dittrich, Roger Leenders et al.ARTICLESocial Networks2017

  • Corporate Social Capital and Liability

    Roger Leenders, Roger Th A J Leenders et al.BOOKCorporate Social Capital and…2013

  • Corporate Social Capital and Liability

    Roger Th A J Leenders, Shaul M GabbayBOOKCorporate Social Capital and…2012

  • Creating Trust through Narrative Strategy

    Open AccessShaul M Gabbay, Roger Leenders et al.ARTICLERationality and Society2003References: 14

    In the rational model of trust, an actor's level of trust is a function of the expected gain and loss involved. As a consequence, if A can influence the gain and loss perceived by B, A can influence B's level of trust. In this article we study how A can do this through the strategic use of narrative. In particular, we show how actors who attempt to recruit others into network marketing employ narrative in manipulating the recruit's expectations. …

  • Modeling social influence through network autocorrelation: Constructing the weight matrix

    Open AccessRoger Leenders, Roger Th A J LeendersARTICLESocial Networks2002

  • Social Capital of Organizations

    Open AccessShaul M Gabbay, Roger Leenders et al.BOOKSocial capital of organizations2001

    An influential concept in the social science literature, the theory of social capital, asserts that social actors gain resources through relationships with other actors. While social capital research has largely focused on individuals as the unit of analysis, this volume looks at social capital of organizations, or Corporate Social Capital (CSC), exploring how and to what extent social networks facilitate or impede the attainment of organizationa…

  • Evolution of friendship and best friendship choices

    Roger Leenders, Roger Th A J LeendersARTICLEJournal of Mathematical Sociology1996Cited by: 18References: 18

    It has been recognized in the literature that the mechanisms driving friendship choices differ when different settings are considered. At the same time, it is likely that different types of friendships are governed by different mechanisms. Employing longitudinal sociometric data from classrooms in elementary schools, it is examined whether gender similarity, reciprocity, and proximity (joint membership of study groups) have similar effects on 'fr…

  • Models for network dynamics: A Markovian framework

    Roger Leenders, Roger Th A J LeendersARTICLEJournal of Mathematical Sociology1995Cited by: 20References: 14

    A question not very often addressed in social network analysis relates to network dynamics and focuses on how networks arise and change. It alludes to the idea that ties do not arise or vanish randomly, but (partly) as a consequence of human behavior and preferences. Statistical models for modeling changes in the structure of social networks are rare and often strongly restricted substantively. The common approach is to focus on conditional trans…