Wim Broekaert, Elena Köstner et Christian Rollinger (éds.), The Ties that Bind. Ancient Politics and Network Research

This chapter introduces the field of historical network research. Many historical outcomes of interest to social scientists are greatly affected by network processes. These include revolutions, segregation, increasing inequality, party polarization, market development, state centralization, and the rise and fall of institutions. The chapter considers the current state of historical network research across these and other outcomes by focusing on six different network phenomena: cross-cutting ties, informal social ties, associational and organizational networks, narrative networks, cohesion, and brokerage and centrality. Extant research has presented some contradictory findings about the relationoship of these findings to major social outomes, suggesting further specification is necessary. The goal of this chapter is to provide a synthesis that illuminates a pathway to maximize future contributions.

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MapTap and Cornelia Slow Digital Art History and Formal Art Historical Social Network Research

Zeitschrift für Kunstgeschichte ◽

10.1515/zkg-2016-0025 ◽

2016 ◽

Vol 79 (3) ◽

pp. 315-330 ◽

Cited By ~ 6

Author(s):

Koenraad Brosens ◽

Klara Alen ◽

Astrid Slegten ◽

Fred Truyen

Keyword(s):

Social Networks ◽

Social Network ◽

Early Modern ◽

Data Model ◽

Art History ◽

Digital Art ◽

Unique Data ◽

Network Research ◽

Custom Made

Abstract The essay introduces MapTap, a research project that zooms in on the ever-changing social networks underpinning Flemish tapestry (1620 – 1720). MapTap develops the young and still slightly amorphous field of Formal Art Historical Social Network Research (FAHSNR) and is fueled by Cornelia, a custom-made database. Cornelia’s unique data model allows researchers to organize attribution and relational data from a wide array of sources in such a way that the complex multiplex and multimode networks emerging from the data can be transformed into partial unimode networks that enable proper FAHSNR. A case study revealing the key roles played by women in the tapestry landscape shows how this kind of slow digital art history can further our understanding of early modern creative communities and industries.

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Social Network Research contribution to evaluating process in a feasibility study of a peer-led and school-based sexual health intervention

Scientific Reports ◽

10.1038/s41598-021-90852-w ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Chiara Broccatelli ◽

Peng Wang ◽

Lisa McDaid ◽

Mark McCann ◽

Sharon Anne Simpson ◽

...

Keyword(s):

Social Network ◽

Sexual Health ◽

Health Knowledge ◽

Complex Interventions ◽

Individual Characteristics ◽

Feasibility Trial ◽

Friendship Networks ◽

Intervention Delivery ◽

School Based ◽

Network Research

AbstractThere is growing interest in social network-based programmes to improve health, but rigorous methods using Social Network research to evaluate the process of these interventions is less well developed. Using data from the “STis And Sexual Health” (STASH) feasibility trial of a school-based, peer-led intervention on sexual health prevention, we illustrate how network data analysis results can address key components of process evaluations for complex interventions—implementation, mechanisms of impacts, and context. STASH trained students as Peer Supporters (PS) to diffuse sexual health messages though face-to-face interactions and online Facebook (FB) groups. We applied a Multilevel Exponential Random Graph modelling approach to analyse the interdependence between offline friendship relationships and online FB ties and how these different relationships align. Our results suggest that the creation of online FB communities mirrored offline adolescent groups, demonstrating fidelity of intervention delivery. Data on informal friendship networks related to student’s individual characteristics (i.e., demographics, sexual health knowledge and adherence to norms, which were included for STASH), contributed to an understanding of the social relational ‘building’ mechanisms that sustain tie-formation. This knowledge could assist the selection of opinion leaders, improving identification of influential peers situated in optimal network positions. This work provides a novel contribution to understanding how to integrate network research with the process evaluation of a network intervention.

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