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DTSTART;TZID=Europe/Amsterdam:20210615T130000
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SUMMARY:POPNET Connects with Zoltán Elekes
DESCRIPTION:Using Swedish register data for regional and network science \n\n\n\nDrawing on statistical registers\, Sweden offers world-class microdata resources for quantitative research. The register data covers the entire population of Sweden in a panel structure\, also matching workers to workplaces. As such it provides detailed information on individuals\, workplaces\, firms and regions over time. In this talk I will give an overview of the use of this dataset\, and provide examples of ongoing research based on it in the context of regional and network science. This part will first cover inferring coworker networks to explain individual\, firm and regional outcomes. Second\, I will show how constructing skill-relatedness networks enables the study of individual wage-mobility\, the economic resilience of local labour markets\, and helps informing regional policy on economic diversification. \n\n\n\nAbout Zoltan Elekes \n\n\n\nZoltán Elekes is engaged in research on topics at the intersection of evolutionary economic geography and network science. He holds a PhD in economics from the Doctoral School of Economics\, University of Szeged\, Hungary since 2018. In his thesis he explored how multinational enterprises and import influence the economic diversification of microregions. He is a research fellow at the ANET Lab of the Centre for Economic and Regional Studies in Hungary\, where he studies the geography of collaborative knowledge production and supplier-buyer networks. He leads a research project at the Centre for Regional Science at Umeå University\, Sweden on how the network structure of local labour markets condition regional economic resilience. He has published in leading field journals including Regional Studies and European Planning Studies\, and has refereed for Economic Geography and Regional Studies among others. Zoltán is the 2019 recipient of the Excellent Young Regional Scientist Award of the Hungarian Regional Science Association\, the Hungarian section of ERSA. Since 2019 he has been engaged on multiple occasions in consulting policymakers in Swedish regions on smart specialization and regional economic development. He continues to mentor students in Hungary\, and contributes to the Network and Spatial Analysis course developed by the ANET Lab. \n\n\n\nAbout POPNET Connects \n\n\n\nPOPNET Connects is the seminar series of the Population Scale Network Analysis (POPNET) platform. We invite everyone to join the seminar\, connect with others and get involved in discussion. Interested in joining? Send us an email or sign up for our mailing list.
URL:https://www.popnet.io/events/popnet-connects-with-zoltan-elekes/
CATEGORIES:Seminar
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DTSTART;TZID=Europe/Amsterdam:20210623T173500
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CREATED:20210630T114312Z
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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
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