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DTSTART;TZID=Europe/Amsterdam:20210909T090000
DTEND;TZID=Europe/Amsterdam:20210909T092000
DTSTAMP:20260506T150727
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SUMMARY:Population-scale social network analysis
DESCRIPTION:Parallel session talk by Frank Takes at European Conference on Social Network EUSN 2021 \n\n\n\nThis work is centered around a population-scale social network analysis study of all 17 million inhabitants of the Netherlands. In the considered (anoymized) population-scale social network\, node and edge information stems from register data: official government registers containing highly curated records on family\, work\, school\, household and neighborhood relations. First\, we discuss how the considered data is fundamentally different from the type of data commonly used to define connectivity in socials networks\, such as survey data\, spatiotemporal proximity data or online social media data. To understand how to derive meaningful insights from the considered more \formal” social ties\, we first revisit some of the fundamental issues in network analysis\, relating to the unit of analysis (Butts 2009)\, measurement errors (Kossinets 2016\, Wang et al. 2012) and the boundary specification problem (Laumann 1989\, Nowell et al. 2018). Second\, we present characteristics of the constructed multilayer social network\, in which 17.2 million nodes are connected through 41.1 million household links\, 233.8 million school links\, 270.2 million family links\, 352.7 million neighbor links\, 566.0 million work links. In total\, there are 1.423 billion unique links between individuals\, as some of the layers overlap. As expected\, the network as a whole has an overall skewed degree distribution and is highly clustered\, the latter in part due to the fact that some layers are in fact projections of underlying two-mode affiliation networks. Third\, a more in-depth analysis of the family layer of this multilayer network dataset reveals the family structure of all 17.2 individuals living in the Netherlands. We present unique statistics on the statistical properties of this population-scale family network\, consisting of directed parent-child relationships. We do so in light of two concrete examples with relevance in the family studies and sociology literature. Purely based on the structure of this network\, we can now for the first time\, at scale\, validate existing findings and hypotheses in this area. In particular\, we look at household composition for children with parents that are no longer together and remarriage behavior of parents with and without children. The two issues above can quantitatively be addressed by investigating at the overlap of the family layer with for example the household layer. Finally\, we demonstrate the advantages and disadvantages of using register data as compared to the use of household survey data in the study of family networks\, and how the interplay between the family layer and other network layers can be used to answer a plethora of other network-driven socio-economic questions of interest.
URL:https://www.popnet.io/events/population-scale-social-network-analysis-2/
CATEGORIES:Conference talk
ATTACH;FMTTYPE=image/png:https://www.popnet.io/wp-content/uploads/2021/09/EUSN-2021.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210913T100000
DTEND;TZID=Europe/Amsterdam:20210913T110000
DTSTAMP:20260506T150727
CREATED:20210831T141616Z
LAST-MODIFIED:20211029T100253Z
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SUMMARY:POPNET Connects with Lasse Folke Henriksen
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.  \n\n\n\n\nRegister\n\n\n\n\nCareers through Networks – Studying the Relational Underpinnings of Social Mobility using Danish Register Data\n\n\n\nLabor market mobility is the product of people traversing complex interdependent networks of institutions and people. Over the course of careers\, workers build social networks to other workers through shared institutional and organizational histories. For a long time\, scholars have studied how such networks enable and constraint the mobility of workers\, shaping horizontal movement across workplaces as well as vertical movement in the occupational structure. In this talk we theorize the relative importance of different configurations of worker ego networks in enabling social mobility in labor markets\, along with their changing utility across different occupational careers. \n\n\n\nWe consider family\, education-\, workplace-\, and resident-based ties to co-workers and managers and provide a theoretical framework that link synergies between the type\, strength and power asymmetry of social ties to horizontal and vertical mobility outcomes. We present various analytical strategies for identifying workers’ network configurations and for testing the relative importance of different configurations on different mobility outcomes. Combining linked employer-employee data with population registers and educational records we reconstruct workers’ network configurations as they move between workplaces. By combining dynamic multimodal network data with mobility outcomes across workers’ careers we are able to demonstrate the multiple pathways by which networks inform labor market mobility.  \n\n\n\nAbout Lasse Folke Henriksen\n\n\n\n\n\n\n\nLasse Folke Henriksen is Associate Professor at Copenhagen Business School. Henriksen’s research interests involve: social networks in organisations and markets; experts and professions in governance and policy; the socio-economic and political prominence of corporate elite; inequality in a comparative perspective; and the politics of conservation and environmental sustainability. His work frequently deploys social network analytic tools to trace the origins of social and political action. Henriksen is the author of several books and he has published in journals such as Organization; Social Networks; Regulation & Governance; Global Networks; and International Political Sociology.
URL:https://www.popnet.io/events/popnet-connects-with-lasse-folke-henriksen/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210927T100000
DTEND;TZID=Europe/Amsterdam:20210927T110000
DTSTAMP:20260506T150727
CREATED:20210907T112024Z
LAST-MODIFIED:20211029T100247Z
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SUMMARY:POPNET Connects with Tobias Blanke
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.  \n\n\n\n\nRegister\n\n\n\n\nAlgorithmic Reason – The New Government of Self and Other\n\n\n\nTobias Blanke will present parts of their forthcoming book (together with Claudia Aradau) on “Algorithmic Reason – The New Government of Self and Other”. He will focus on the big data debates as they are pertinent to fundamental questions of the relations between the governing of individuals and populations before focussing on a case of how these translate into the identification of ‘others’ in the global war on terror using network analysis. \n\n\n\nAbout Tobias Blanke\n\n\n\n\n\n\n\nTobias Blanke is Distinguished University Professor of Artificial Intelligence and Humanities at the University of Amsterdam and project partner of POPNET. \n\n\n\nHis academic background is in moral philosophy and computer science. Tobias’ principal research interests lie in the development and research of artificial intelligence and big data devices as well as infrastructures for research\, particularly in the human sciences. Recently\, he has also extensively published on ethical questions of AI like predictive policing or algorithmic otherings\, as well as critical digital practices and the engagement with digital platforms. \n\n\n\nTobias’ monographs include most recently Digital Asset Ecosystems – Rethinking Crowds and Clouds\, which offers a new perspective on the collaboration between humans and computers in global digital workflows. He is currently writing a book on the socio-economic position of AI called ‘Algorithmic Reason – the Governance of Self and Other’.
URL:https://www.popnet.io/events/popnet-connects-with-tobias-blanke/
CATEGORIES:Seminar
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