Advances in information technology have increased the availability of time-stamped
relational data, such as those produced by email exchanges or interaction through social …

The uncertainty underlying real-world phenomena has attracted attention toward statistical
analysis approaches. In this regard, many problems can be modeled as networks. Thus, the …

Relational event models expand the analytical possibilities of existing statistical models for
interorganizational networks by:(i) making efficient use of information contained in the …

Exponential random graph models (ERGMs) are widely used for modeling social networks
observed at one point in time. However the computational difficulty of ERGM parameter …

This paper argues that hospitality enterprises are a part of a complex-adaptive system. The
exploration of Competitive Productivity (CP) and related concepts at the macro, meso, and …

The emergence of the e-commerce village, which has become prevalent in rural China in
recent years, could be regarded as a result of innovation diffusion. To explore the dynamic …

Teacher networks are essential mechanisms driving school reform, yet there is limited
research on the development of these networks from a structural dynamics perspective. This …

The circulation of livestock pathogens in the pig industry is strongly related to animal
movements. Epidemiological models developed to understand the circulation of pathogens …

In the road infrastructure sector, public–private partnership (PPP) projects involve the
implementation of project finance principles through the signing of a long-term contract …

Autologistic actor attribute models (ALAAMs) provide new analytical opportunities to
advance research on how individual attitudes, cognitions, behaviors, and outcomes diffuse …