The anatomy of a population-scale social network

On Thursday 29 June, POPNET Postdoctoral Researcher Eszter Bokányi will present her work on "The anatomy of a population-scale social network" at Sunbelt 2023, which will take place in Portland, Oregon.

Promise and perils of population-scale social network analysis

On Thursday 26 October, POPNET PI Frank Takes will present his work online for the IAS lecture series of the Institute for Analytical Sociology in Norrköping, Sweden. Abstract A relatively recently emerged line of research is dedicated to harnessing large-scale ...

Read more

POPNET presents their work during Sunbelt Conference 2024

POPNET proudly joins the 44th edition of the Sunbelt Conference in Edinburgh from 24th June to June 30th 2024. The Sunbelt Conference is part of the International Network for Social Network Analysis (INSNA), providing an interdisciplinary venue for social scientists, ...

Read more

POPNET Connects with Jolien Cremers

In this seminar of the POPNET Connects series, Jolien Cremers, Senior Advisor at the Data Science Lab at Statistics Denmark, will discuss the creation of a registry-based, multi-layer, and temporal network of the entire Danish population from 2008-2021, covering approximately 7.2 million individuals. The network maps relationships formed through family, households, workplaces, and schools, providing insights into how social connections influence various aspects of life, such as career trajectories and health. Cremers will also explore how connections reappear across different life stages, reflect one's position in the income distribution, and reveal patterns in shortest path lengths between individuals, offering a novel approach to understanding societal dynamics.

Free

POPNET Connects with Ana Macanovic (Hybrid)

In this seminar of the POPNET Connects series, Ana Macanoivc, Max Weber Fellow at the European University Institute (EUI), Florence, will present a newly curated and fine-grained dataset, the Dutch Professors in Media database (DPM), to better understand the complex landscape of gender differences in media representation.