An Introduction to Information Network Modeling Capabilities, Utilizing Graphs

This paper presents research on Information Network (IN) modeling using graph mining. The theoretical background along with a review of relevant literature is showcased, pertaining the concepts of IN model types, network schemas and graph measures. Ongoing research involves experimentation and evalu...

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Bibliographic Details
Published inMetadata and Semantic Research Vol. 1355; pp. 134 - 140
Main Authors Koukaras, Paraskevas, Rousidis, Dimitrios, Tjortjis, Christos
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2021
Springer International Publishing
SeriesCommunications in Computer and Information Science
Subjects
Data mining
Graph modeling
Information Networks
Linked data
NoSQL
Social data
Online AccessGet full text
ISBN3030719022
9783030719029
ISSN1865-0929
1865-0937
DOI10.1007/978-3-030-71903-6_14

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Summary:This paper presents research on Information Network (IN) modeling using graph mining. The theoretical background along with a review of relevant literature is showcased, pertaining the concepts of IN model types, network schemas and graph measures. Ongoing research involves experimentation and evaluation on bipartite and star network schemas, generating test subjects using Social Media, Energy or Healthcare data. Our contribution is showcased by two proof-of-concept simulations we plan to extend.
ISBN:3030719022
9783030719029
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-030-71903-6_14