The Structure and Dynamics of Knowledge Graphs, with Superficialityuse asterix (*) to get italics

Loïck Lhote, Béatrice Markhoff, Arnaud SouletPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"

2023

<p>Large knowledge graphs combine human knowledge garnered from projects ranging from academia and institutions to enterprises and crowdsourcing. Within such graphs, each relationship between two nodes represents a basic fact involving these two entities. The diversity of the semantics of relationships constitutes the richness of knowledge graphs, leading to the emergence of singular topologies, sometimes chaotic in appearance. However, this complex characteristic can be modeled in a simple way by introducing the concept of superficiality, which controls the overlap between relationships whose facts are generated independently. With this model, superficiality also regulates the balance of the global distribution of knowledge by determining the proportion of misdescribed entities. This is the first model for the structure and dynamics of knowledge graphs. It leads to a better understanding of formal knowledge acquisition and organization.</p>

https://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBL-RDF/28.0/, https://api.bnf.fr/fr/dumps-de-databnffr, https://dumps.wikimedia.org/other/incr/wikidatawiki/You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://

https://github.com/asoulet/superficialityYou should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://

https://github.com/asoulet/superficialityYou should fill this box only if you chose 'Codes have been used in this study'. URL must start with http:// or https://

Knowledge Graph; Multiplex network; Preferential attachment; Superficiality

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Dynamics on networks, Knowledge and innovation networks, Multilayer, multiplex or multilevel Networks, Random graphs, Self-organization in complex networks

Katja Hose, katja.hose@tuwien.ac.at, Denny Vrandečić, denny@wikimedia.org, Manlio De Domenico, manlio.dedomenico@unipd.it

e.g. John Doe john@doe.com

No need for them to be recommenders of PCI Network Sci. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct

2023-05-16 14:26:33

Cédric Sueur