Szczegóły publikacji
Opis bibliograficzny
Analysis of group evolution prediction in complex networks / Stanisław Saganowski, Piotr Bródka, Michał KOZIARSKI, Przemysław Kazienko // PLoS One [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1932-6203. — 2019 — vol. 14 iss. 10 art. no. e0224194, s. 1–18. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 16–18, Abstr. — Publikacja dostępna online od: 2019-10-29
Autorzy (4)
- Saganowski Stanisław
- Bródka Piotr
- AGHKoziarski Michał
- Kazienko Przemysław
Dane bibliometryczne
| ID BaDAP | 125921 |
|---|---|
| Data dodania do BaDAP | 2020-01-20 |
| Tekst źródłowy | URL |
| DOI | 10.1371/journal.pone.0224194 |
| Rok publikacji | 2019 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | PLoS One |
Abstract
In the world, in which acceptance and the identification with social communities are highly desired, the ability to predict the evolution of groups over time appears to be a vital but very complex research problem. Therefore, we propose a new, adaptable, generic, and multistage method for Group Evolution Prediction (GEP) in complex networks, that facilitates reasoning about the future states of the recently discovered groups. The precise GEP modularity enabled us to carry out extensive and versatile empirical studies on many real-world complex / social networks to analyze the impact of numerous setups and parameters like time window type and size, group detection method, evolution chain length, prediction models, etc. Additionally, many new predictive features reflecting the group state at a given time have been identified and tested. Some other research problems like enriching learning evolution chains with external data have been analyzed as well. © 2019 Saganowski et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
