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X-WR-CALDESC:Events for POPNET
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210731T090000
DTEND;TZID=Europe/Amsterdam:20210731T091500
DTSTAMP:20260502T165720
CREATED:20210719T063152Z
LAST-MODIFIED:20211029T100325Z
UID:556-1627722000-1627722900@www.popnet.io
SUMMARY:The emergence of hierarchy in spatial diffusion over the life-cycle of innovations
DESCRIPTION:Conference talk at IC2S2 \n\n\n\nAuthors: Eszter Bokanyi\, Martin Novák\, Ákos Jakobi and Balazs Lengyel \n\n\n\nABSTRACTUsing a model capturing distance-decay\, urban scaling\, and hierarchical difference\, we show that hierarchical diffusion has an increasing role over the life cycle in the spatial adoption of an online social network.
URL:https://www.popnet.io/events/the-emergence-of-hierarchy-in-spatial-diffusion-over-the-life-cycle-of-innovations/
CATEGORIES:Conference talk
ATTACH;FMTTYPE=image/png:https://www.popnet.io/wp-content/uploads/2021/07/ic2s2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210730T151000
DTEND;TZID=Europe/Amsterdam:20210730T155000
DTSTAMP:20260502T165720
CREATED:20210706T081542Z
LAST-MODIFIED:20220112T135209Z
UID:522-1627657800-1627660200@www.popnet.io
SUMMARY:Population-scale Social Network Analysis
DESCRIPTION:Keynote Frank Takes at IC2S2 2021 \n\n\n\nMissed the keynote by Frank Takes at IC2S2 2021? You can view the full presentation here.  \n\n\n\nAbstract \n\n\n\nThe use of country-wide administrative register data enables the discovery of population-scale insights into contemporary problems such as segregation\, inequality and poverty. This talk considers responsibly anonymized population-scale social network data on all 17 million inhabitants of the Netherlands. I will discuss how the type of formal links 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\, I will show how the analysis of a population-scale multilayer network of family\, work\, school\, household and neighborhood relations enables us to revisit the well-known small-world phenomenon from a unique angle. Finally\, I outline the possibilities of population-scale network data for various areas of social science research. \n\n\n\nAbout Frank Takes \n\n\n\nFrank Takes is head of the Computational Network Science Lab at Leiden University and research fellow in computational social science at the University of Amsterdam. He is co-director of the Platform for Population-scale Social Network Analysis (POPNET) and board member of the Dutch Network Science Society (NL NetSci). His research deals with methods for large-scale social network analysis\, with a focus on applications in economic networks\, scientific collaboration networks and population-scale social networks. 
URL:https://www.popnet.io/events/population-scale-social-network-analysis/
CATEGORIES:Conference talk
ATTACH;FMTTYPE=image/png:https://www.popnet.io/wp-content/uploads/2021/07/ic2s2.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210728T104500
DTEND;TZID=Europe/Amsterdam:20210728T110000
DTSTAMP:20260502T165720
CREATED:20210719T064642Z
LAST-MODIFIED:20211029T100338Z
UID:560-1627469100-1627470000@www.popnet.io
SUMMARY:Income of home neighbourhood and the structure and concentration of online social ties in US metro areas
DESCRIPTION:Conference talk at IC2S2 \n\n\n\nAuthors: Sándor Juhász\, Ádám Kovács\, Balázs Lengyel and Eszter Bokányi \n\n\n\nABSTRACTThis study shows that online social connections of people in poor neighbourhoods are more spatially concentrated and structurally cohesive than the network of people living in better-off areas of the top 50 metropolitan areas of the US.
URL:https://www.popnet.io/events/income-of-home-neighbourhood-and-the-structure-and-concentration-of-online-social-ties-in-us-metro-areas/
CATEGORIES:Conference talk
ATTACH;FMTTYPE=image/png:https://www.popnet.io/wp-content/uploads/2021/07/ic2s2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210728T094500
DTEND;TZID=Europe/Amsterdam:20210728T100000
DTSTAMP:20260502T165720
CREATED:20210719T064140Z
LAST-MODIFIED:20211029T100345Z
UID:558-1627465500-1627466400@www.popnet.io
SUMMARY:The effect of commuting on the income assortativity of social network ties
DESCRIPTION:Conference talk at IC2S2 \n\n\n\nAuthors: Eszter Bokanyi\, Sándor Juhász\, Márton Karsai and Balazs Lengyel \n\n\n\nABSTRACTIn this work\, we investigate home-work locations and mutual followership ties of Twitter users from the top 50 metropolitan areas of the United States. We find that despite the heterogeneity of spatial structures in cities\, above median commuting reduces the income assortativity of social networks by 30% on average.
URL:https://www.popnet.io/events/the-effect-of-commuting-on-the-income-assortativity-of-social-network-ties/
CATEGORIES:Conference talk
ATTACH;FMTTYPE=image/png:https://www.popnet.io/wp-content/uploads/2021/07/ic2s2.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210709T161500
DTEND;TZID=Europe/Amsterdam:20210709T163000
DTSTAMP:20260502T165720
CREATED:20210707T061007Z
LAST-MODIFIED:20211029T100351Z
UID:529-1625847300-1625848200@www.popnet.io
SUMMARY:The community structure of global scientific collaboration - lecture at Networks2021 conference
DESCRIPTION:Lecture by Frank Takes on the Networks 2021 conference \n\n\n\nAuthors: Hanjo Boekhout; Eelke Heemskerk; Frank Takes \n\n\n\nIn this work we study the structure of global scientific collaboration\, in an attempt to better understand the internationalization of research. In particular\, we are interested in the existence of closely collaborating scientific communities. Indeed\, it is well-known that even though science knows no borders\, collaboration ties are not randomly created between individual scholars. Instead\, we anticipate geographical\, political and cultural factors to play a crucial role in this process. In this paper we set out to empirically investigate to what extent this is the case by providing a large-scale analysis of 23 million publications from Web of Science in the period 2008—2019.
URL:https://www.popnet.io/events/the-community-structure-of-global-scientific-collaboration-lecture-at-networks2021-conference/
CATEGORIES:Conference talk
ATTACH;FMTTYPE=image/png:https://www.popnet.io/wp-content/uploads/2021/07/vis-hcp10.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210706T204500
DTEND;TZID=Europe/Amsterdam:20210706T210000
DTSTAMP:20260502T165720
CREATED:20210702T072413Z
LAST-MODIFIED:20211029T100401Z
UID:519-1625604300-1625605200@www.popnet.io
SUMMARY:Measuring Anonymity in Complex Networks at Networks 2021 conference
DESCRIPTION:Lecture by Rachel de Jong at Networks2021 conference \n\n\n\nAuthors: Rachel de Jong; Mark van der Loo; Frank Takes \n\n\n\nComplex networks are often used to describe the interactions between individuals or organizations within social or economic systems. In order to comply with regulations regarding privacy and data protection\, such data is frequently anonymized by leaving out personal identifiers of the nodes. However\, in such cases (properties of) a seemingly anonymized individual may still be re-identified based on its structural position in the network [1]. \n\n\n\nThis is particularly relevant for National Statistical Institutes (NSIs) that are applying network science to population scale social network data [2]. When releasing data for research purposes\, NSIs rely on statistical disclosure control (SDC) techniques for data protection [3]. A central concept in this field is anonymity: the number of equivalent data points in an anonymized data set. Anonymity is an essential component in assessing the risk of disclosure. \n\n\n\nThis work presents a method for measuring the disclosure probability of nodes in networks\, that takes as a parameter the amount of information an adversary has about a node’s surrounding structure. We also provide an in-depth analysis of node anonymity in three well-known complex network models. The proposed j-anonymity distributions can be used to measure disclosure probabilities\, which in turn can be used to assess disclosure risk. Numerical experiments reveal that many nodes are de-anonymized when their neighbourhood of radius 2 is known.
URL:https://www.popnet.io/events/10320-measuring-anonymity-in-complex-networks/
CATEGORIES:Conference talk
ATTACH;FMTTYPE=image/png:https://www.popnet.io/wp-content/uploads/2021/07/Networks-2021.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210623T173500
DTEND;TZID=Europe/Amsterdam:20210623T175500
DTSTAMP:20260502T165720
CREATED:20210630T114312Z
LAST-MODIFIED:20211029T100408Z
UID:516-1624469700-1624470900@www.popnet.io
SUMMARY:The Anatomy of Metropolitan Spatial Social Networks at Netstructure 21 satellite
DESCRIPTION:Lecture by Eszter Bokányi on Netstructure21 satellite \n\n\n\nSpatially embedded social networks have long been at the focus of researchers\, but the resolution of most studies was not enough to analyze how connections are formed within large urban areas\, and how all this is linked to the socio-economic status of people within the network. First\, I am going to show how commuting distance conditions the online social ties of Twitter users in the 50 largest metropolitan areas of the United States. Home and work locations are identified from geolocated tweets that enable us to infer the socio-economic status of individuals. The results suggest that commuting-enabled mixing manifests in reduced levels of income assortativity in online social relationships suggesting a universal role of commuting in integrating disparate social networks in cities. Second\, I am going to talk about the difference between the spatial concentration of social ties around people’s home and work locations\, and how the concentration around the home locations is stronger for people with lower socio-economic status\, whereas higher status users have a higher social connection density around their workplaces. These differences between the poor and the rich can also be observed in certain structural metrics of the ego-networks linked to social capital such as the clustering coefficient and the share of supported ties. This suggests that the structure of social networks around homes provide greater social capital for poor users than for rich users.
URL:https://www.popnet.io/events/the-anatomy-of-metropolitan-spatial-social-networks/
CATEGORIES:Conference talk
ATTACH;FMTTYPE=image/png:https://www.popnet.io/wp-content/uploads/2021/06/Netstructure21-satellite.png
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