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Pregled bibliografske jedinice broj: 557224

Reasoning about Large-Scale Social Networks with Probabilistic Logic


Lauc, Davor; Grgić, Siniša
Reasoning about Large-Scale Social Networks with Probabilistic Logic // Proceedings from Sunbelt XXXI. Trade Winds Beach Resort / H. Russell Bernard, Mark House, Christopher McCarty, John Skvoretz (ur.).
St. Pete Beach (FL): International Network for Social Network Analysis, 2011. str. 137-138 (predavanje, međunarodna recenzija, sažetak, ostalo)


CROSBI ID: 557224 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Reasoning about Large-Scale Social Networks with Probabilistic Logic

Autori
Lauc, Davor ; Grgić, Siniša

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo

Izvornik
Proceedings from Sunbelt XXXI. Trade Winds Beach Resort / H. Russell Bernard, Mark House, Christopher McCarty, John Skvoretz - St. Pete Beach (FL) : International Network for Social Network Analysis, 2011, 137-138

ISBN
88-901826-5-2

Skup
International Network for Social Network Analysis, XXXI Sunbelt Conference

Mjesto i datum
Saint Pete Beach (FL), Sjedinjene Američke Države, 08.02.2011. - 13.02.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Probabilistic Logic; Social Networks Analysis

Sažetak
Network Matching and Link Prediction are relatively unexplored in the area of Social network analysis, but solving those problems in an efficient way is crucial in many real‐world applications. Network Matching is a generalized problem of node identification. Node identification (matching individuals) is a task of unique identification a person in the analyzed network as a known entity in existing network, based on the known links and additional attributes. In the Link Prediction (social) graph is build or completed by inferencing links based on existing network's structure and node attributes. Both problems in the most realworld applications have to deal with incomplete information and probabilities. In perfect information environment, those problems would be naturally modelled in the predicate logic, hence, the real‐ world problems require methods of probabilistic logic ("ProbLog" framework). Two large‐scale social networks were used to develop and test the model: (1) the sample of the largest social network consisting of 372 volunteers with over 1M links ; (2) huge social network generated from all available Croatian public records with 540.000 individuals and over 100 million links among them. First network was matched with the second using developed model, with completeness of 86, 8% (323 individuals). Results are evaluated against matched volunteers with an error of 5, 3%. Probabalistic logic link prediction model was applied on a second network with promising results.

Izvorni jezik
Engleski

Znanstvena područja
Filozofija



POVEZANOST RADA


Projekti:
130-1203164-0741 - Logika, univerzalni jezik i filozofija jezika (Švob, Goran, MZOS ) ( CroRIS)

Ustanove:
Filozofski fakultet, Zagreb

Profili:

Avatar Url Siniša Grgić (autor)

Avatar Url Davor Lauc (autor)


Citiraj ovu publikaciju:

Lauc, Davor; Grgić, Siniša
Reasoning about Large-Scale Social Networks with Probabilistic Logic // Proceedings from Sunbelt XXXI. Trade Winds Beach Resort / H. Russell Bernard, Mark House, Christopher McCarty, John Skvoretz (ur.).
St. Pete Beach (FL): International Network for Social Network Analysis, 2011. str. 137-138 (predavanje, međunarodna recenzija, sažetak, ostalo)
Lauc, D. & Grgić, S. (2011) Reasoning about Large-Scale Social Networks with Probabilistic Logic. U: H. Russell Bernard, Mark House, Christopher McCarty, John Skvoretz (ur.)Proceedings from Sunbelt XXXI. Trade Winds Beach Resort.
@article{article, author = {Lauc, Davor and Grgi\'{c}, Sini\v{s}a}, year = {2011}, pages = {137-138}, keywords = {Probabilistic Logic, Social Networks Analysis}, isbn = {88-901826-5-2}, title = {Reasoning about Large-Scale Social Networks with Probabilistic Logic}, keyword = {Probabilistic Logic, Social Networks Analysis}, publisher = {International Network for Social Network Analysis}, publisherplace = {Saint Pete Beach (FL), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }
@article{article, author = {Lauc, Davor and Grgi\'{c}, Sini\v{s}a}, year = {2011}, pages = {137-138}, keywords = {Probabilistic Logic, Social Networks Analysis}, isbn = {88-901826-5-2}, title = {Reasoning about Large-Scale Social Networks with Probabilistic Logic}, keyword = {Probabilistic Logic, Social Networks Analysis}, publisher = {International Network for Social Network Analysis}, publisherplace = {Saint Pete Beach (FL), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }




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