We used a new interdisciplinary paradigm of social network analysis (SNA) to investigate associations between hormones and social network structures. We examine these biobehavioral processes and test hypotheses about how hormones are associated with social network structures using exponential random graph modeling (ERGM) in a cohort of first-year students (n=74; 93% female; M age=27 years) from...

Random graphs, where the connections between nodes are considered random variables, have wide applicability in the social sciences. Exponential-family Random Graph Models (ERGM) have shown themselves to be a useful class of models for representing complex social phenomena. We generalize ERGM by also modeling nodal attributes as random variates, thus creating a random model of the full network, ...

Abstract Customer preference modelling has been widely used to aid engineering design decisions on the selection and configuration of attributes. Recently, network analysis approaches, such as exponential random graph model (ERGM), have increasingly in this field. While ERGM-based approach new capability effects interactions interdependencies (e.g., social relationships among customers) custome...

Customers often compare and evaluate alternative products before making purchase decisions. Understanding customer preference is an important step for choice modeling in engineering design. This study presents a network approach to model co-consideration relations between products in supporting engineering design decisions. The network approach of co-consideration represents each product as a n...

The Exponential-family Random Graph Model (ERGM) is a powerful model to fit networks with complex structures. However, for dynamic valued whose observations are matrices of counts that evolve over time, the development ERGM framework still in its infancy. To facilitate modeling dyad value increment and decrement, Partially Separable Temporal proposed networks. parameter learning algorithms inhe...

Understanding the regularity and determinants of mobility is indispensable for reasonable deployment shared bicycles urban planning. A spatial interaction network covering streets in Beijing’s six main districts, using bike sharing data, constructed analyzed. as Additionally, exponential random graph model (ERGM) used to interpret influencing factors structure regularity. The characteristics te...

We investigate the computational complexity of the exponential random graph model (ERGM) commonly used in social network analysis. This model represents a probability distribution on graphs by setting the log-likelihood of generating a graph to be a weighted sum of feature counts. These log-likelihoods must be exponentiated and then normalized to produce probabilities, and the normalizing const...

In the post-epidemic era, encouraging enterprises to implement green technology innovation in hospitality and tourism industry is important, which can reduce resource consumption, decrease environmental pollution promote sustainable industrial development. Based on evolutionary game theory Exponential Random Graph Models (ERGM), this paper develops an model between focal marginal analyzes dynam...