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Pregled bibliografske jedinice broj: 964700

A methodology to evaluate the evolution of networks using topological data analysis


Pita Costa, Joao; Galinac Grbac, Tihana
A methodology to evaluate the evolution of networks using topological data analysis // Proceedings of the 20th International Multiconference INFORMATION SOCIETY - IS 2017 Volume C / Mladenić, Dunja ; Grobelnik, Marko (ur.).
Ljubljana: Institut Jožef Stefan, 2018. str. 43-47 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 964700 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A methodology to evaluate the evolution of networks using topological data analysis

Autori
Pita Costa, Joao ; Galinac Grbac, Tihana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 20th International Multiconference INFORMATION SOCIETY - IS 2017 Volume C / Mladenić, Dunja ; Grobelnik, Marko - Ljubljana : Institut Jožef Stefan, 2018, 43-47

ISBN
978-961-264-114-6

Skup
Slovenian KDD Conference on Data Mining and Data Warehouses (SiKDD 2017)

Mjesto i datum
Ljubljana, Slovenija, 09.10.2017. - 11.10.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
evaluation methodology, complex networks, topological data analysis

Sažetak
Networks are important representations in computer science to communicate structural aspects of a given system of interacting components. The evolution of a network has several topological properties that can provide us information on the network itself. In this paper, we present a methodology to compare the the topological characteristics of the evolution of a network, encoded into a (persistence) diagram that tracks the lifetimes of those features. This will enable us to classify the evolution of networks based on the distance between the diagrams that represent such network evolution. In that, we also consider complex vectors that bring a complementary perspective to the distance-based classification that is closer to the computational methods, aims to enhance the computational efficiency of those comparisons, and that is by itself a source of open research questions.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekti:
HRZZ-UIP-2014-09-7945 - Programski sustavi u evoluciji: analiza i inovativni pristupi pametnom upravljanju (EVOSOFT) (Galinac Grbac, Tihana, HRZZ - 2014-09) ( CroRIS)

Ustanove:
Tehnički fakultet, Rijeka

Profili:

Avatar Url Tihana Galinac Grbac (autor)

Poveznice na cjeloviti tekst rada:

ailab.ijs.si is.ijs.si videolectures.net

Citiraj ovu publikaciju:

Pita Costa, Joao; Galinac Grbac, Tihana
A methodology to evaluate the evolution of networks using topological data analysis // Proceedings of the 20th International Multiconference INFORMATION SOCIETY - IS 2017 Volume C / Mladenić, Dunja ; Grobelnik, Marko (ur.).
Ljubljana: Institut Jožef Stefan, 2018. str. 43-47 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Pita Costa, J. & Galinac Grbac, T. (2018) A methodology to evaluate the evolution of networks using topological data analysis. U: Mladenić, D. & Grobelnik, M. (ur.)Proceedings of the 20th International Multiconference INFORMATION SOCIETY - IS 2017 Volume C.
@article{article, author = {Pita Costa, Joao and Galinac Grbac, Tihana}, year = {2018}, pages = {43-47-47}, keywords = {evaluation methodology, complex networks, topological data analysis}, isbn = {978-961-264-114-6}, title = {A methodology to evaluate the evolution of networks using topological data analysis}, keyword = {evaluation methodology, complex networks, topological data analysis}, publisher = {Institut Jo\v{z}ef Stefan}, publisherplace = {Ljubljana, Slovenija} }
@article{article, author = {Pita Costa, Joao and Galinac Grbac, Tihana}, year = {2018}, pages = {43-47-47}, keywords = {evaluation methodology, complex networks, topological data analysis}, isbn = {978-961-264-114-6}, title = {A methodology to evaluate the evolution of networks using topological data analysis}, keyword = {evaluation methodology, complex networks, topological data analysis}, publisher = {Institut Jo\v{z}ef Stefan}, publisherplace = {Ljubljana, Slovenija} }




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