Mitchell Centre seminar series
| Dates: | 23 March 2022 |
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| Times: | 16:00 - 17:00 |
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| What is it: | Seminar |
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| Organiser: | School of Social Sciences |
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Mirco Schönfeld
University of Bayreuth
Networks in Context
Analyzing networks in humanities research often involves aggregating diverse and many-faceted information about the objects of research using abstract concepts or numbers in order to fulfill algorithmic requirements: Most classical algorithms for network analysis operate on structural information without any notion of context, except for edge weights. Variety, richness, and sensitivity of collected data is cut to a great extent.
In real-world situations, however, actors and the connections between them are subject to contextual settings and can be significantly influenced by these settings. In fact, such real-world observations are often modeled using attributed networks in which contextual information can be associated as attributes to nodes and edges. However, this information is disregarded when evaluating the importance of actors in terms of network centrality measurements.
This presentation shows a method for obtaining shortest path-based centrality measurements for attributed networks that exploits attribute information on nodes for shortest path calculations. The ability to take both structural and contextual data into account creates additional analytic opportunities and can aid in gaining a detailed understanding of rich social networks.
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G6
Humanities Bridgeford Street
Manchester
