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DTSTART;TZID=Europe/Amsterdam:20220405T090000
DTEND;TZID=Europe/Amsterdam:20220405T100000
DTSTAMP:20260504T053835
CREATED:20220329T093530Z
LAST-MODIFIED:20220401T083859Z
UID:757-1649149200-1649152800@www.popnet.io
SUMMARY:POPNET Connects with Willem Boterman
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\nSchool choice and school segregation\n\n\n\nSchool segregation is both a result and a cause of educational inequalities in societies world-wide. Understanding mechanisms for the emergence of school segregation is crucial for understanding potential policy solutions. A vast literature has identified a number of main factors in school segregation of which residential patterns and school choice are arguably the most important. Drawing on findings from a range of qualitative and quantitative studies\, I will outline the complexity of school segregation and suggest to combine existing approaches with a complexity science perspective. I will present both empirical evidence from the Netherlands and insights from theoretical models. \n\n\n\nAbout Willem Boterman\n\n\n\n\n\n\n\nWillem Boterman is Associate Professor Urban Geography at the University of Amsterdam. He combines qualitative and quantitative methods in his interdisciplinary work into the relationship between spatial and social inequalities. His work is primarily concerned with segregation in neighborhoods and schools\, but also with formations of social class and gender.
URL:https://www.popnet.io/events/popnet-connects-with-willem-boterman/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://www.popnet.io/wp-content/uploads/2021/08/POPNET-Connects-v1.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220419T090000
DTEND;TZID=Europe/Amsterdam:20220419T100000
DTSTAMP:20260504T053835
CREATED:20220401T083134Z
LAST-MODIFIED:20220401T083825Z
UID:768-1650358800-1650362400@www.popnet.io
SUMMARY:POPNET Connects with Rense Corten
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\nSocial networks research with digital traces data\n\n\n\nThe emergence of the internet and its various modes of online interaction have created unprecedented opportunities for social scientists to study classic social questions in new ways\, but also to ask new questions. This holds in particular for themes like social networks\, social order\, and cooperation. In this talk I will present various examples of my work over the past years on these themes\, drawing on a variety of different “digital traces” data sources\, including social media and online markets. \n\n\n\nAbout Rense Corten\n\n\n\n\n\n\n\nRense Corten is Associate Professor at the Department of Sociology. His research revolves around the themes of cooperation\, trust\, and (the dynamics of) social networks\, with empirical applications including adolescent networks\, social media\, the sharing economy\, online criminal networks\, and laboratory experiments. In 2016 he received an NWO Vidi grant for a research project on the origins and consequences of trust in the sharing economy.He obtained his PhD in social sciences in 2009 and his doctorate in sociology in 2004 at Utrecht University.
URL:https://www.popnet.io/events/popnet-connects-with-rense-corten/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220421T151500
DTEND;TZID=Europe/Amsterdam:20220421T161500
DTSTAMP:20260504T053835
CREATED:20220419T090635Z
LAST-MODIFIED:20220421T120716Z
UID:792-1650554100-1650557700@www.popnet.io
SUMMARY:Research Colloquium on Business Informatics
DESCRIPTION:As part of the Research Colloquium on Information Systems and Data Science of the Institute of Information Systems of Leuphana University Lüneburg\, co-director Frank Takes will speak on “Population-scale Social Network Analysis” via Zoom. \n\n\n\nAbstract\n\n\n\nThis talk considers responsibly anonymized population-scale social network data on all 17 million inhabitants of the Netherlands. The data stems from country-wide administrative register data\, and has the potential to shed new light on contemporary social scientific problems such as segregation\, inequality\, loneliness and poverty. The talk discusses how the formal links (family\, household\, work\, school and neighbor ties) in this social network require one to critically rethink network analysis concepts such as the unit of analysis\, measurement errors effects and the boundary specification problem. Moreover\, it allows us to in a unique way revisit the well-known concept of closure and the small-world phenomenon in a population-scale social network context. The talk furthermore presents initial findings on the relation between the network structure and spatial distribution of the population.
URL:https://www.popnet.io/events/research-colloquium-on-business-informatics/
CATEGORIES:Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.popnet.io/wp-content/uploads/2022/04/Leuphana.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220422T150000
DTEND;TZID=Europe/Amsterdam:20220422T160000
DTSTAMP:20260504T053835
CREATED:20220419T091322Z
LAST-MODIFIED:20220421T120822Z
UID:795-1650639600-1650643200@www.popnet.io
SUMMARY:LCN2 seminar: The anatomy of a population-scale social network
DESCRIPTION:Lecture for Leiden Complex Networks Network (LCN2) by Eszter Bokányi.Title: The anatomy of a population-scale social network \n\n\n\nAbstract: The analysis of large-scale societal networks has recently seen tremendous growth\, in part because of the relative abundance of digital data sources such as online social networks or mobile communication datasets. However\, most of these data sources lack demographic data on users or are uncertain with respect to the representativity of the user sample. Moreover\, it is often not clear what exact social relations these online or communication ties represent\, thus\, it is difficult to interpret findings. This talk will attempt to overcome a number of these drawbacks by presenting a thorough overview of the structure of a 17M node multilayer population-scale social network of the Netherlands containing roughly 1.6B edges derived from highly curated official data sources of CBS Netherlands. First\, we show how the degree distribution of this network is a composition of the degree distributions of the different types of edges. In the overall degree distribution\, we find a characteristic value that is in sharp contrast to the scale-free or other fat-tailed distributions found in online social networks or communication networks. Second\, we discuss different types of clustering in this multilayer network\, and show how closed or open network structures emerge for people of certain ages. In particular\, we introduce a normalized multilayer clustering coefficient that we call excess closure\, that captures the fraction of triangles in people’s social circles that span across multiple types of relationships. Finally\, we show that long-range ties that span large distances are very scarce in this network\, which is in contrast to findings in online social networks\, and does not promote fast and efficient diffusion processes over this structure\, despite average path lengths being low. Our measurements are first steps in building both methods and universal insights on the rich network structure of highly curated population-level network datasets.
URL:https://www.popnet.io/events/lcn2-seminar-the-anatomy-of-a-population-scale-social-network/
CATEGORIES:Lecture
ATTACH;FMTTYPE=image/png:https://www.popnet.io/wp-content/uploads/2022/04/LCN2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220429T160000
DTEND;TZID=Europe/Amsterdam:20220429T170000
DTSTAMP:20260504T053835
CREATED:20220419T093023Z
LAST-MODIFIED:20220421T121550Z
UID:798-1651248000-1651251600@www.popnet.io
SUMMARY:Population-scale Social Network Analysis
DESCRIPTION:Lecture by co-director Frank Takes for the Maths and Statistics Department in the University of Limerick. \n\n\n\nAbstract\n\n\n\nThis talk considers responsibly anonymized population-scale social network data on all 17 million inhabitants of the Netherlands. The data stems from country-wide administrative register data\, and has the potential to shed new light on contemporary social scientific problems such as segregation\, inequality\, loneliness and poverty. The talk discusses how the formal links (family\, household\, work\, school and neighbor ties) in this social network require one to critically rethink network science concepts such as the unit of analysis\, measurement errors effects and the boundary specification problem. Moreover\, it allows us to in a unique way revisit the well-known concept of closure and the small-world phenomenon in a population-scale social network context. The talk furthermore presents initial findings on the relation between the network structure and spatial distribution of the population.
URL:https://www.popnet.io/events/population-scale-social-network-analysis-4/
CATEGORIES:Lecture
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