Pregled bibliografske jedinice broj: 814971
MultiNets: Web-Based Multilayer Network Visualization
MultiNets: Web-Based Multilayer Network Visualization // Lecture Notes in Computer Science / Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, Myra Spiliopoulou (ur.).
Porto, Portugal: Springer, 2015. str. 298-302 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
MultiNets: Web-Based Multilayer Network Visualization
Autori
Piškorec, Matija ; Sluban, Borut ; Šmuc, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Lecture Notes in Computer Science
/ Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, Myra Spiliopoulou - : Springer, 2015, 298-302
ISBN
978-3-319-23461-8
Skup
European Conference on Machine Learning and Knowledge Discovery in Databases
Mjesto i datum
Porto, Portugal, 07.09.2015. - 11.09.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Network visualization; Multilayer networks; Graph mining; Network mining
Sažetak
This paper presents MultiNets: a Javascript library for multilayer network visualization. MultiNets provides reusable HTML components with functions for loading, manipulation and visualization of multilayered networks. These components can be easily incorporated into any web page, and they allow users to perform exploratory analysis of multilayer networks and prepare publication quality network visualizations. MultiNets components are easily extendable to provide custom based visualizations, such as embedding networks on geographical maps, and can be used for building complex web-based graphical user interfaces for data mining services that operate on multilayered networks and multirelational data in general.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
