Node Vector Distances: Methods and Applications Michele is an associate professor at IT University of Copenhagen since 2020. He mainly works on algorithms for the analysis of complex networks, with methods spanning from Computer Science to physics, and on applying the extracted knowledge to a variety of problems, including economic development, human mobility, and the […]
Estimating Affective Polarization on a Social Network with Michele Coscia
Details TBA
Claudia Acciai is a postdoctoral researcher at the Department of Sociology (UCPH). In her talk, she will discuss status biases, focusing on how nationality, institutional affiliation, gender and ethnicity can become status signals that, when salient, implicitly influence behaviors in the science system. Claudia’s presentation will draw on recent findings from two studies: a field […]
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Bicycle networks: From data quality assessment to computational analysis Cycling is marginalized despite being a promising solution towards sustainable transport. In parallel, cycling data and cycling research are also marginalized, posing many opportunities for improvement and open questions. Here, we first present our cycling data quality tool which enables intrinsic and extrinsic assessment and reporting […]
Our NERDS seminars continue on Wednesday Feb 15 with a talk from Francisco Rowe, Senior Lecturer at the Department of Geography and Planning, University of Liverpool. Francisco Rowe will introduce the research project ITINERANT: InequaliTies IN Experiencing uRbAn fuNcTion: ITINERANT aims to understand how different socio-economic groups experience, access and benefit from the wide array of functions […]
On Wednesday Feb 22, Jonas Juul (DTU) will present his talk "Harder, better, faster, stronger cascades - or simply larger?" on the dissemination of online content. Abstract: Do some types of online content spread faster or further than others? In recent years, many studies have sought answers to such questions by comparing statistical properties of network paths taken […]
Talk: The issue of scale in anarchy: an information perspective Anarchist collectives are self-organized, non-hierarchical and anti-authoritarian. It is often argued that the scope of such collectives is limited, as they cannot grow in size or complexity without requiring some form of delegation or centralized hierarchical control. More generally, the emergence of control hierarchies in […]