Data mining is being increasingly applied to social networks. Two relevant reasons are the
growing availability of large volumes of relational data, boosted by the proliferation of social …

This paper demonstrates the potential benefits of crowdsourcing last mile delivery by
exploiting a social network of the customers. The presented models and analysis are …

Stochastic actor-based models are models for network dynamics that can represent a wide
variety of influences on network change, and allow to estimate parameters expressing such …

This paper studies social network changes during the COVID-19 crisis in the Netherlands
and their relation to perceived loneliness for the younger and the older cohorts. Arguments …

Anew breed of innovation—open innovation—is forcing firms to reassess their leadership
positions, which reflect the performance outcomes of their business strategies. It is timely to …

A class of statistical models is proposed for longitudinal network data. The dependent
variable is the changing (or evolving) relation network, represented by two or more …

A recurrent problem in the analysis of behavioral dynamics, given a simultaneously evolving
social network, is the difficulty of separating the effects of partner selection from the effects of …

The current study focuses on the emergence of friendship networks among just‐acquainted
individuals, investigating the effects of Big Five personality traits on friendship selection …

Network science offers powerful tools to model complex social systems. Most social network
science research focuses on topological networks by simply considering the binary state of …

The apparent stability of social network structures may mask considerable change and
adjustment in the ties that make up the structures. In this study, we theorize and test—using …