Analysing Interpersonal Ties and Social Networks Using GIS | SAD Series

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SAD Seminar Series presents a talk from Clio Andris, Assistant Professor of City & Regional Planning & Interactive Computing at Georgia Tech

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Analysing Interpersonal Ties and Social Networks Using GIS

Personal relationships are ubiquitous and important in our lives, but rarely mapped and analyzed as GIS data. The goal of this talk is to describe interpersonal social network data structures and methods for embedding spatial social networks (SSNs) in geographic space. I will share new and existing metrics for describing SSNs and a cutting-edge research agenda for SSN spatial models. Through data analysis, this research reflects longstanding geographic and regional science theories and offers practical planning and infrastructure valuation strategies. I will also talk about success stories for SSN analysis in the classroom.

Clio Andris is an assistant professor in the School of City & Regional Planning and the School of Interactive Computing at Georgia Tech. Her research is on mathematical models of social networks, social flows, and interpersonal relationships in geographic space, applied to issues of urban planning, visualization, transportation and geography.

SAD 2020 | Spatial Analytics + Data Seminar Series

An international showcase to the best scholarship involving geography and data co-sponsored by Newcastle University, University of Bristol & the Alan Turing Institute.

From segregation and social networks to machine learning and movement, the Spatial Analytics + Data seminar series is a place for dialogue among scholars united by interest in geographic data & spatial analysis, as well as a platform for cutting-edge methods and thinking in spatial social science.

The seminars feature speakers from a wide variety of academic backgrounds & career stages, and are held nearly every week on Tuesday, 1500 UTC throughout the 2020-2021 academic year.

For more information, please contact the series organizers &

Spatial Analytics

Working across disciplines to analyse and model spatial data to address complex societal challenges in areas such as health, mobility, education and economic development.

Spatial data are increasingly ubiquitous in terms of availability, as well as application to a range of societal challenges, such as health, mobility, education, or economic development. Newcastle also possesses a strong core of expertise where spatial data, modelling, and analysis are concerned, in disciplines that span all faculties.

Data NuCore

The Data NUCoRE aspires to transform research across the University by driving forward the development and application of new methods for extracting value from data. By fostering collaborations with researchers from across the University, we will nurture the development of new methods for extracting value from data, and encourage novel applications of new methods in a variety of domains.

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