J Mulder
Biographic Data
| ID | 10303 |
|---|---|
| NAME | J Mulder |
| GIVEN NAMES | J |
| FAMILY NAME | Mulder |
| SIGNATURE | MULDER J |
| AFFILIATIONS | Tilburg University |
| ORCID | 0000-0001-7007-3086 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 11 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Not all bonds are created equal
Dynamic social networks can be conceptualized as sequences of dyadic interactions between individuals over time. The relational event model has been the workhorse to analyze such interaction sequences in empirical social network research. When addressing possible unobserved heterogeneity in the interaction mechanisms, standard approaches, such as the stochastic block model, aim to cluster the variation at the actor level. Though useful, the impli…
A Bayesian Semi-Parametric Approach for Modeling Memory Decay in Dynamic Social Networks
In relational event networks, the tendency for actors to interact with each other depends greatly on the past interactions between the actors in a social network. Both the volume of past interactions and the time that has elapsed since the past interactions affect the actors' decision-making to interact with other actors in the network. Recently occurred events may have a stronger influence on current interaction behavior than past events that oc…
Bayesian testing of scientific expectations under exponential random graph models
The exponential random graph (ERGM) model is a commonly used statistical framework for studying the determinants of tie formations from social network data. To test scientific theories under ERGMs, statistical inferential techniques are generally used based on traditional significance testing using p-values. This methodology has certain limitations, however, such as its inconsistent behavior when the null hypothesis is true, its inability to quan…
Rivalries, reputation, retaliation, and repetition
The hypothesis that violence—especially gang violence—behaves like a contagious disease has grown in popularity in recent years. Scholars have long observed the tendency for violence to cluster in time and space, but little research has focused on empirically unpacking the mechanisms that make violence contagious. In the context of gang violence, retaliation is the prototypical mechanism to explain why violence begets violence. In this study, we …
BIC Extensions for Order-constrained Model Selection
The Schwarz or Bayesian information criterion (BIC) is one of the most widely used tools for model comparison in social science research. The BIC, however, is not suitable for evaluating models with order constraints on the parameters of interest. This article explores two extensions of the BIC for evaluating order-constrained models, one where a truncated unit information prior is used under the order-constrained model and the other where a trun…
Envisioning future landscapes
A longitudinal study of iron status in children at 12, 24 and 36 months
Objectives: To assess iron status in a sample of clinically well, Caucasian children and explore the complex factors which contribute to iron deficiency during infancy. Design: Infants recruited at birth and followed longitudinally at 1, 2, 3, 4, 5, 6, 9, 12, 24 and 36 months; feeding practices and socioeconomic data recorded. Iron status assessed using venous blood at 12, 24 and 36 months. Setting: Baseline data recorded in the maternity unit. F…
Rivalries, reputation, retaliation, and repetition
The hypothesis that violence—especially gang violence—behaves like a contagious disease has grown in popularity in recent years. Scholars have long observed the tendency for violence to cluster in time and space, but little research has focused on empirically unpacking the mechanisms that make violence contagious. In the context of gang violence, retaliation is the prototypical mechanism to explain why violence begets violence. In this study, we …
A Bayesian Semi-Parametric Approach for Modeling Memory Decay in Dynamic Social Networks
In relational event networks, the tendency for actors to interact with each other depends greatly on the past interactions between the actors in a social network. Both the volume of past interactions and the time that has elapsed since the past interactions affect the actors' decision-making to interact with other actors in the network. Recently occurred events may have a stronger influence on current interaction behavior than past events that oc…
A longitudinal study of iron status in children at 12, 24 and 36 months
Objectives: To assess iron status in a sample of clinically well, Caucasian children and explore the complex factors which contribute to iron deficiency during infancy. Design: Infants recruited at birth and followed longitudinally at 1, 2, 3, 4, 5, 6, 9, 12, 24 and 36 months; feeding practices and socioeconomic data recorded. Iron status assessed using venous blood at 12, 24 and 36 months. Setting: Baseline data recorded in the maternity unit. F…
Envisioning future landscapes
BIC Extensions for Order-constrained Model Selection
The Schwarz or Bayesian information criterion (BIC) is one of the most widely used tools for model comparison in social science research. The BIC, however, is not suitable for evaluating models with order constraints on the parameters of interest. This article explores two extensions of the BIC for evaluating order-constrained models, one where a truncated unit information prior is used under the order-constrained model and the other where a trun…
Bayesian testing of scientific expectations under exponential random graph models
The exponential random graph (ERGM) model is a commonly used statistical framework for studying the determinants of tie formations from social network data. To test scientific theories under ERGMs, statistical inferential techniques are generally used based on traditional significance testing using p-values. This methodology has certain limitations, however, such as its inconsistent behavior when the null hypothesis is true, its inability to quan…
Rivalries, reputation, retaliation, and repetition
The hypothesis that violence—especially gang violence—behaves like a contagious disease has grown in popularity in recent years. Scholars have long observed the tendency for violence to cluster in time and space, but little research has focused on empirically unpacking the mechanisms that make violence contagious. In the context of gang violence, retaliation is the prototypical mechanism to explain why violence begets violence. In this study, we …
A Bayesian Semi-Parametric Approach for Modeling Memory Decay in Dynamic Social Networks
In relational event networks, the tendency for actors to interact with each other depends greatly on the past interactions between the actors in a social network. Both the volume of past interactions and the time that has elapsed since the past interactions affect the actors' decision-making to interact with other actors in the network. Recently occurred events may have a stronger influence on current interaction behavior than past events that oc…
Not all bonds are created equal
Dynamic social networks can be conceptualized as sequences of dyadic interactions between individuals over time. The relational event model has been the workhorse to analyze such interaction sequences in empirical social network research. When addressing possible unobserved heterogeneity in the interaction mechanisms, standard approaches, such as the stochastic block model, aim to cluster the variation at the actor level. Though useful, the impli…
Computer Science (6 works) · Artificial Intelligence (4 works) · Artificial Intelligence (3 works) · Bayesian probability (3 works) · Machine learning (3 works) · Mathematics (3 works) · Psychology (3 works) · Statistics (3 works) · Complex Network Analysis Techniques (2 works) · Data science (2 works)