Dynamic network analysis of contact diaries

Lerner, Jürgen; Lomi, Alessandro; Mowbray, John; Rollings, Neil; Tranmer, Mark

Dynamic network analysis of contact diaries

Dateien

Lerner_2-t8k4etcfpnqh1.pdfGröße: 961.61 KBDownloads: 204

Datum

2021

Autor:innen

Lerner, Jürgen

Lomi, Alessandro

Mowbray, John

Rollings, Neil

Tranmer, Mark

Open Access-Veröffentlichung

Open Access Hybrid

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Social Networks. Elsevier. 2021, 66, pp. 224-236. ISSN 0378-8733. eISSN 1879-2111. Available under: doi: 10.1016/j.socnet.2021.04.001

Zusammenfassung

Analyzing two-mode networks linking actors to events they attend may help to uncover the structure and evolution of social networks. This classic social network insight is particularly valuable in the analysis of data extracted from contact diaries where contact events produce — and at the same time are the product of relations among participants. Contact events may comprise any number of actors meeting at a specific point in time. In this paper we recall the correspondence between two-mode actor–event networks and hypergraphs, and propose relational hyperevent models (RHEM) as a general modeling framework for networks of time-stamped multi-actor events in which the diarist (“ego”) simultaneously meets several of her alters. RHEM can estimate event intensities associated with each possible subset of actors that may jointly participate in events, and test network effects that may be of theoretical or empirical interest. Examples of such effects include preferential attachment, prior shared activity (familiarity), closure, and covariate effects explaining the propensity of actors to co-attend events. Statistical tests of these effects can uncover processes that govern the formation and evolution of informal groups among the diarist’s alters. We illustrate the empirical value of RHEM using data comprising almost 2000 meeting events of former British Prime Minister Margaret Thatcher with her cabinet ministers, transcribed from contact diaries covering her first term in office (1979–1983).

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Duality of persons and groups; Two-mode networks; actor–event networks; Hypergraphs; Analysis of contact diaries; Longitudinal network models; Relational hyperevent models

Zitieren

ISO 690

LERNER, Jürgen, Alessandro LOMI, John MOWBRAY, Neil ROLLINGS, Mark TRANMER, 2021. Dynamic network analysis of contact diaries. In: Social Networks. Elsevier. 2021, 66, pp. 224-236. ISSN 0378-8733. eISSN 1879-2111. Available under: doi: 10.1016/j.socnet.2021.04.001

BibTex

@article{Lerner2021-07Dynam-53940,
  year={2021},
  doi={10.1016/j.socnet.2021.04.001},
  title={Dynamic network analysis of contact diaries},
  volume={66},
  issn={0378-8733},
  journal={Social Networks},
  pages={224--236},
  author={Lerner, Jürgen and Lomi, Alessandro and Mowbray, John and Rollings, Neil and Tranmer, Mark}
}

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Universitätsbibliographie

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