Diseases spread over temporal networks of interaction events between individuals.
Structures of these temporal networks hold the keys to understanding epidemic propagation …

In the COVID-19 crisis, compartmental models have been largely used to predict the
macroscopic dynamics of infections and deaths and to assess different non-pharmaceutical …

Shareholder activism through corporate governance proposals is a prominent avenue for
investors to voice their concerns in corporate governance matters. However, shareholder …

Recent scholarship expresses concerns that US corporations are too focused on short-term
performance, undermining their long-term competitiveness. The authors examine how short …

Network approaches have revolutionized the study of ecological interactions. Social,
movement and ecological networks have all been integral to studying infectious disease …

Social and spatial network analysis is an important approach for investigating infectious
disease transmission, especially for pathogens transmitted directly between individuals or …

The event graph representation of temporal networks suggests that the connectivity of
temporal structures can be mapped to a directed percolation problem. However, similarly to …

This monograph takes up recent advances in social network methods in sociology, together
with data on economic segregation, in order to build a quantitative analysis of the class and …

Structural sources of power have shifted dramatically in corporate America. Recently, the
fracturing of the corporate interlock network threatens corporate managers' capacity to act as …

Respondent-driven sampling (RDS) is a popular method for sampling hard-to-survey
populations that leverages social network connections through peer recruitment. Although …