Time series analyses are often used to model a continuous response for all individuals at
equally spaced time points. With the rapid advance of social network sites, network data are …

We investigate how differences in personal network development affect the mobilization of
social capital for new organizational members. Analyzing three waves of panel data …

It is a fact of life that being beautiful is advantageous (Hamermesh, 2011). Whether we
consider incomes or the marriage market, the more attractive one is, the better one does …

Social scientists increasingly use (big) social media data to illuminate long-standing
substantive questions in social science research. However, a key challenge of analyzing …

We present the argument that medical recruitment to a previously under-recruited remote
town was effected through what Social Network Analysis (SNA) measures as “brokerage” …

Trusting and trustworthy environments are argued to promote collective action, as people
learn to rely on their fellow citizens and believe that only few individuals will free ride. To test …

Purpose This paper aims to utilize machine learning and soft computing to propose a new
method of rough sets using deep learning architecture for many real-world applications …

Diffusion studies investigate the propagation of behavior, attitudes, or beliefs across a
networked population. Some behavior is binary, eg, whether or not to install solar panels …

Despite the widespread acceptance of the claim that bridging ties help to obtain profitable
outcomes, its underlying mechanisms remain understudied. Starting from a multi-armed …

Referrals and information flow distort market mechanisms of hiring in the labor market, but
they might assist employers under asymmetric information in finding better alternatives. This …