This is the published version.Egocentric social network instruments typically require independently sampled respondents to identify up to five social network alters. When collecting egocentric data from dyads (e.g., mothers and fathers), shared and unique network alters can be identified. The present manuscript describes a new way of using egocentric data collected from related pairs using Multilevel Modeling (MLM). As a case study, the egocentric social support networks of twenty pairs of parents of children with cancer (N = 40) will be analyzed to illustrate how this technique can be used to model the characteristics of each network alter and to answer research questions regarding sex differences in received social support networks
Homophily, the tendency of linked agents to have similar characteristics, is an important feature of...
In measuring ego-centered social networks, two general approaches can be distinguished. A very simpl...
International audienceNowadays, social networks are more and more widely used as a solution for enri...
Objective The goal of this dissertation is to understand egocentric social networks and their relati...
Research on the relationship between social support and general well-being often focuses on the pers...
We apply Random Forests to detailed survey data of social relations in order to derive an inductive ...
The present paper analyses the relationship among social support and personal networks by focusing o...
This study was an analysis of social networks of ten females who were enrolled in a project entitled...
Along with the development of multi-level statistical models, the dyadic social relationship has bee...
In this paper we present and evaluate a social network model which exploits fundamental results comi...
This paper introduces some regression models for a categorical dependent variable with data from ego...
The present paper analyses the relationship among social support and personal networks by focusing o...
This article examines the potential of using ego-centered networks with a case illustration drawn fr...
While obtaining information from multiple members of a family can enhance researchers— understanding...
Predictions of node categories are commonly used to estimate homophily and other relational properti...
Homophily, the tendency of linked agents to have similar characteristics, is an important feature of...
In measuring ego-centered social networks, two general approaches can be distinguished. A very simpl...
International audienceNowadays, social networks are more and more widely used as a solution for enri...
Objective The goal of this dissertation is to understand egocentric social networks and their relati...
Research on the relationship between social support and general well-being often focuses on the pers...
We apply Random Forests to detailed survey data of social relations in order to derive an inductive ...
The present paper analyses the relationship among social support and personal networks by focusing o...
This study was an analysis of social networks of ten females who were enrolled in a project entitled...
Along with the development of multi-level statistical models, the dyadic social relationship has bee...
In this paper we present and evaluate a social network model which exploits fundamental results comi...
This paper introduces some regression models for a categorical dependent variable with data from ego...
The present paper analyses the relationship among social support and personal networks by focusing o...
This article examines the potential of using ego-centered networks with a case illustration drawn fr...
While obtaining information from multiple members of a family can enhance researchers— understanding...
Predictions of node categories are commonly used to estimate homophily and other relational properti...
Homophily, the tendency of linked agents to have similar characteristics, is an important feature of...
In measuring ego-centered social networks, two general approaches can be distinguished. A very simpl...
International audienceNowadays, social networks are more and more widely used as a solution for enri...