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Pregled bibliografske jedinice broj: 915937

Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia


Piškorec, Matija; Antulov-Fantulin, Nino; Miholić, Iva; Šmuc, Tomislav; Šikić, Mile
Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia // Complex Networks and Their Applications VI: Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications) / Cherifi, Chantal ; Cherifi, Hocine ; Karsai, Marton ; Musolesi, Mirco (ur.).
Lyon, Francuska: Springer International Publishing, 2017. str. 1015-1027 doi:10.1007/978-3-319-72150-7_82 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia

Autori
Piškorec, Matija ; Antulov-Fantulin, Nino ; Miholić, Iva ; Šmuc, Tomislav ; Šikić, Mile

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

Izvornik
Complex Networks and Their Applications VI: Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications) / Cherifi, Chantal ; Cherifi, Hocine ; Karsai, Marton ; Musolesi, Mirco - : Springer International Publishing, 2017, 1015-1027

ISBN
978-3-319-72150-7

Skup
Complex Networks 2017

Mjesto i datum
Lyon, Francuska, 29.11. - 1.12.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Temporal networks ; social networks ; peer and external influence in networks ; information spreading in networks

Sažetak
In this paper we estimate the magnitude of peer and external influence on users of an opinion poll which was conducted through a Facebook application. Poll question was related to the referendum on the definition of marriage in Croatia held on 1st1st of December 2013. Through the application we collected Facebook friendship relationships, demographics and votes of over ten thousand users, as well as data on online news articles mentioning our application. Our hypothesis is that the engagement of users is driven by two main influences - one coming from within the network (peer or endogenous influence) and other coming from outside of the network (external or exogenous influence). The question is whether we can infer magnitude of these two influences using only the Facebook friendship network between users and the times of their voting. We propose a method for estimation of these two influences and demonstrate its validity on both simulated and actual data.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2013-11-9623 - Postupci strojnog učenja za dubinsku analizu složenih struktura podataka (Dragan Gamberger, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb,
Institut "Ruđer Bošković", Zagreb

Časopis indeksira:


  • Scopus


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