onr:"swepub:oai:DiVA.org:umu-147673"
Search: onr:"swepub:oai:DiVA.org:umu-147673" > Toward higher-order...
- 1 of 1
- Previous record
- Next record
- To hitlist
Toward higher-order network models
-
- Bohlin, Ludvig, 1986- (author)
- Umeå universitet,Institutionen för fysik
-
- Rosvall, Martin, Universitetslektor (thesis advisor)
- Umeå universitet,Institutionen för fysik
-
- Lizana, Ludvig, Universitetslektor (thesis advisor)
- Umeå universitet,Institutionen för fysik
- show more...
- show less...
- (creator_code:org_t)
- ISBN 9789176018927
- Umeå : Umeå University, 2018
- English 89 s.
- Doctoral thesis (other academic/artistic)
Abstract
Subject headings
Close
- Complex systems play an essential role in our daily lives. These systems consist of many connected components that interact with each other. Consider, for example, society with billions of collaborating individuals, the stock market with numerous buyers and sellers that trade equities, or communication infrastructures with billions of phones, computers and satellites.The key to understanding complex systems is to understand the interaction patterns between their components - their networks. To create the network, we need data from the system and a model that organizes the given data in a network representation. Today's increasing availability of data and improved computational capacity for analyzing networks have created great opportunities for the network approach to further prosper. However, increasingly rich data also gives rise to new challenges that question the effectiveness of the conventional approach to modeling data as a network. In this thesis, we explore those challenges and provide methods for simplifying and highlighting important interaction patterns in network models that make use of richer data.Using data from real-world complex systems, we first show that conventional network modeling can provide valuable insights about the function of the underlying system. To explore the impact of using richer data in the network representation, we then expand the analysis for higher-order models of networks and show why we need to go beyond conventional models when there is data that allows us to do so. In addition, we also present a new framework for higher-order network modeling and analysis. We find that network models that capture richer data can provide more accurate representations of many real-world complex systems.
Subject headings
- NATURVETENSKAP -- Fysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
Keyword
- network science
- complex systems
- complex networks
- network analysis
- higher-order networks
- community detection
- citation networks
- network modeling
- fysik
- Physics
Publication and Content Type
- vet (subject category)
- dok (subject category)
Find in a library
- Toward higher-order network models (Search the publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Bohlin, Ludvig, ...
- Rosvall, Martin, ...
- Lizana, Ludvig, ...
- Eliassi-Rad, Tin ...
- About the subject
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Physical Science ...
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Computer and Inf ...
- and Other Computer a ...
- By the university
- Umeå University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
