Characterising Functional Brain Connectivity as Social Network : the Transtopic Centrality Index

• Autorzy: Menegaz Gloria , Tomazzoli Claudio , Cristani Matteo , Boscolo Galazzo Ilaria , Storti Silvia Francesca

Identyfikatory

DOI

10.3233/FI-2020-1899

• Języki publikacji: EN

Abstrakty

EN

Graph-based network modeling is becoming increasingly pervasive touching very different fields. Among these are social networks analysis and brain connectivity modeling. Though apparently very far apart, these two domains share the same questions about how the underlying network is structured and how this can be measured. This determines an a-priori unexpected convergence of the research efforts of two different communities, that is neurosciences and information technology. In this work, we put forth some basic issues emerging from the overlaps of the two domains and propose a first simple measure allowing to capture one among the features of interest: the transtopic closeness centrality. To this end, the related concepts are briefly recalled and two case studies are considered. Then, relying on social network analysis principles, the transposition to functional brain networks is proposed highlighting and discussing some of the inherent critical issues.

Słowa kluczowe

EN

social networks; social network analysis; centrality; information technology

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2020
• Tom: Vol. 172, nr 2
• Strony: 169--186
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Menegaz Gloria

• Department of Computer Science, University of Verona, Verona, Italy

autor

Tomazzoli Claudio

• Department of Computer Science, University of Verona, Verona, Italy

autor

Cristani Matteo

• Department of Computer Science, University of Verona, Verona, Italy

autor

Boscolo Galazzo Ilaria

• Department of Computer Science, University of Verona, Verona, Italy

autor

Storti Silvia Francesca

• Department of Computer Science, University of Verona, Verona, Italy

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).