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TIMEISNOW SIGNED

The Time is Now: Understanding Social Network Dynamics Using Relational Event Histories

Total Cost €

EC-Contrib. €

Partnership

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TIMEISNOW project word cloud

Explore the words cloud of the TIMEISNOW project. It provides you a very rough idea of what is the project "TIMEISNOW" about.

stage classroom innovative evolution students free occurs network employees groundbreaking networks history rhythm tools fundamental interactions sensitive preliminary event relational teams statistical storing criminology insights sum interacted first monitored databases takes education sociometric whom gangs time teachers store relations continuous criminal respect unable framework limited software yield made theories bayesian integration cultures sociology extensions shortcoming dynamic wear fast stamped underdeveloped lag analyzing organizational methodology model actions colleagues observe social city tailor treasure ing badges speed data histories workers contain resolve building districts classrooms near police experts scientists violent

Project "TIMEISNOW" data sheet

The following table provides information about the project.

Coordinator	STICHTING KATHOLIEKE UNIVERSITEIT BRABANT Organization address address: WARANDELAAN 2 city: TILBURG postcode: 5037 AB website: www.tilburguniversity.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Netherlands [NL]
Total cost	1˙499˙854 €
EC max contribution	1˙499˙854 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2017-STG
Funding Scheme	ERC-STG
Starting year	2018
Duration (year-month-day)	from 2018-02-01 to 2023-01-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	STICHTING KATHOLIEKE UNIVERSITEIT BRABANT STICHTING KATHOLIEKE UNIVERSITEIT BRABANT Organization address address: WARANDELAAN 2 city: TILBURG postcode: 5037 AB website: www.tilburguniversity.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (TILBURG)	coordinator	1˙499˙854.00

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Project objective

Relational event history data are becoming increasingly available due to new technical developments. These data contain detailed information about who interacted with whom in a network and when. For example, employees wear sociometric badges storing time-stamped interactions between colleagues, classrooms are monitored to observe interactions between teachers and students, and police databases store violent interactions between criminal gangs in city districts. This new type of data has the potential to greatly contribute to our understanding of dynamic social networks by providing new insights about speed, rhythm, duration, and lag in social interactions. However a crucial problem is that statistical tools for analyzing such data are currently underdeveloped. We are therefore unable to exploit this treasure of information, resulting in a limited understanding about the evolution of social relations in continuous time. I will undertake the following actions to resolve this fundamental shortcoming. First, I will develop an innovative Bayesian statistical framework for the analysis of relational event histories by building upon the novel relational event model, which has great potential but is in a preliminary stage of development. Second, I will implement the new framework in free and user-friendly software to ensure general utilization among social scientists. Third, in collaboration with network experts in organizational sociology, sociology of education, and criminology, I will develop tailor-made extensions for dynamic social processes in important applications. In sum, this project will yield a groundbreaking new methodology for testing and building theories on time-sensitive processes in social networks. It will allow us to research, among others, how fast integration occurs among teams with workers from different cultures, how long it takes to develop respect in the classroom, and when violent interactions between criminal gangs will occur in the near future.

Publications

List of publications.
year	authors and title	journal	last update
2019	Joris Mulder, Roger Th.A.J. Leenders Modeling the evolution of interaction behavior in social networks: A dynamic relational event approach for real-time analysis published pages: 73-85, ISSN: 0960-0779, DOI: 10.1016/j.chaos.2018.11.027	Chaos, Solitons & Fractals 119	2019-10-03

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The information about "TIMEISNOW" are provided by the European Opendata Portal: CORDIS opendata.