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X-WR-CALDESC:Events for POPNET
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DTSTART;TZID=Europe/Amsterdam:20220421T151500
DTEND;TZID=Europe/Amsterdam:20220421T161500
DTSTAMP:20260601T124140
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220422T150000
DTEND;TZID=Europe/Amsterdam:20220422T160000
DTSTAMP:20260601T124140
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:20260601T124140
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
ATTACH;FMTTYPE=image/jpeg:https://www.popnet.io/wp-content/uploads/2022/04/UL-logo.jpg
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