This unique textbook provides an introduction to statistical inference with network data. The
authors present a self-contained derivation and mathematical formulation of methods …

Exponential family random graph models (ERGM) are increasingly used in the study of
social networks. These models are build to explain the global structure of a network while …

With the growth of interest in network data across fields, the Exponential Random Graph
Model (ERGM) has emerged as the leading approach to the statistical analysis of network …

Recent interorganizational communication research has taken up the question: why are
networks structured the way they are? This line of inquiry has advanced communication …

This paper investigates the mechanisms behind the formation of links between suppliers
and customers in the Tokyo Stock Exchange (TSE) production network. The supplier …

The social sciences, especially economics, management, and organizational science, are
experiencing a tremendous renewed interest for their epistemological and methodological …

Sociology and other social sciences have employed network analysis earlier than
management and organization sciences, and much earlier than economics, which has been …

近年产业技术创新战略联盟发展迅速, 但普遍存在稳定性不高, 效率低下等诸多问题. 因此,
提高联盟稳定性, 改进联盟绩效是当前亟需解决的问题. 基于管理协同理论, 从资源协同 …

共同购买网络的推荐系统应用越加广泛, 仅基于网络内生结构变量研究其共同购买链接的经济
意义已有局限, 故加入网络口碑这一外生变量, 进行更全面的分析. 采用了社会网络方法中指数 …

Exponential Family Random Graph Models (ERGM) are increasingly used in the study of
social networks. These models are build to explain the global structure of a network while …