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Erschienen in:
Cognitive Cascades within Media Ecosystems: Simulating Fragmentation, Selective Exposure and Media Tactics to Investigate Polarization Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

The Structure of Interdisciplinary Science: Uncovering and Explaining Roles in Citation Graphs

verfasst von : Eoghan Cunningham, Derek Greene

Erschienen in: Complex Networks and Their Applications XI

Verlag: Springer International Publishing

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Abstract

Role discovery is the task of dividing the set of nodes on a graph into classes of structurally similar roles. Modern strategies for role discovery typically rely on graph embedding techniques, which are capable of recognising complex local structures. However, when working with large, real-world networks, it is difficult to interpret or validate a set of roles identified according to these methods. In this work, motivated by advancements in the field of explainable artificial intelligence (XAI), we propose a new framework for interpreting role assignments on large graphs using small subgraph structures known as graphlets. We demonstrate our methods on a large, multidisciplinary citation network, where we successfully identify a number of important citation patterns which reflect interdisciplinary research.

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Vorheriges Kapitel HM-LDM: A Hybrid-Membership Latent Distance Model
Nächstes Kapitel Inferring Parsimonious Coupling Statistics in Nonlinear Dynamics with Variational Gaussian Processes
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Metadaten
Titel
The Structure of Interdisciplinary Science: Uncovering and Explaining Roles in Citation Graphs
verfasst von
Eoghan Cunningham
Derek Greene
Copyright-Jahr
2023
Buch
Complex Networks and Their Applications XI

Print ISBN: 978-3-031-21126-3

Electronic ISBN: 978-3-031-21127-0

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-3-031-21127-0_30

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