_ Larger, complex, integrated community health systems are now forming. Those leading integration efforts (typically leaders of health systems) report flying blind, thinking that there is no road map for integration. They’re often unaware there are those that have gone before (“trailblazers” of integration) and their lessons learned are available for guidance. This special section provides a 15...

This article aims to explore the effects of personal, interpersonal, and situational variables on social integration in the community. Structural equation analyses from two-wave panel data (N1⁄4 536) of adult participants living in an urban area showed that personal determinants (perceived stress and depressive mood), and situational determinants (undesirable life events) were statistically rel...

Community detection is an unsupervised learning task that discovers groups such that group members share more similarities or interact more frequently among themselves than with people outside groups. In social media, link information can reveal heterogeneous relationships of various strengths, but often can be noisy. Since different sources of data in social media can provide complementary inf...

The ability to aggregate information about environmental data and analysis processes across tools and services and across projects provides a powerful capability for discovering resources and coordinating projects and a means to convey the rich, community-scale context of data. In this paper, we summarize the science and engineering use cases motivating the metadata and provenance infrastructur...

As a consequence of the accelerated globalization process, today major cities all over the world are characterized by an increasing multiculturalism. The integration of immigrant communities may be affected by social polarization and spatial segregation. How are these dynamics evolving over time? To what extent the different policies launched to tackle these problems are working? These are crit...