Analysing Networks of Networks
Johan Koskinen, Pete Jones, Darkhan Medeuov, Artem Antonyuk, and Kseniia Puzyreva, Nikita Basov

TL;DR
This paper introduces a method to analyze complex multilevel networks by transforming multiple interconnected networks into a unified multilevel structure using line graphs, enabling advanced modeling of social and report ties.
Contribution
It proposes a novel approach to jointly represent and analyze layered networks through line graph transformations, facilitating the study of social-report associations.
Findings
Method successfully applied to flood management groups
Enables analysis with multilevel exponential random graph models
Flexible framework compatible with various multilevel network models
Abstract
We consider data with multiple observations or reports on a network in the case when these networks themselves are connected through some form of network ties. We could take the example of a cognitive social structure where there is another type of tie connecting the actors that provide the reports; or the study of interpersonal spillover effects from one cultural domain to another facilitated by the social ties. Another example is when the individual semantic structures are represented as semantic networks of a group of actors and connected through these actors' social ties to constitute knowledge of a social group. How to jointly represent the two types of networks is not trivial as the layers and not the nodes of the layers of the reported networks are coupled through a network on the reports. We propose to transform the different multiple networks using line graphs, where actors are…
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Expert finding and Q&A systems
