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Pregled bibliografske jedinice broj: 945229

A Methodology for Evaluating Algorithms that Calculate Social Influence in Complex Social Networks


Smailović, Vanja; Podobnik, Vedran; Lovrek, Ignac
A Methodology for Evaluating Algorithms that Calculate Social Influence in Complex Social Networks // Complexity, 2018 (2018), 1084795, 20 doi:10.1155/2018/1084795 (međunarodna recenzija, članak, znanstveni)


Naslov
A Methodology for Evaluating Algorithms that Calculate Social Influence in Complex Social Networks

Autori
Smailović, Vanja ; Podobnik, Vedran ; Lovrek, Ignac

Izvornik
Complexity (1076-2787) 2018 (2018); 1084795, 20

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
online social networks ; Facebook ; data analytics, social influence, SmartSocial

Sažetak
Online social networks are complex systems often involving millions or even billions of users. Understanding the dynamics of a social network requires analysing characteristics of the network (in its entirety) and the users (as individuals). This paper focuses on calculating user’s social influence, which depends on: (i) the user’s positioning in the social network ; and (ii) interactions between the user and all other users in the social network. Given that data on all users in the social network is required to calculate social influence, something not applicable for today’s social networks, alternative approaches relying on a limited set of data on users are necessary. However, these approaches introduce uncertainty in calculating (i.e., predicting) the value of social influence. Hence, a methodology is proposed for evaluating algorithms that calculate social influence in complex social networks ; this is done by identifying the most accurate and precise algorithm. The proposed methodology extends the traditional ground truth approach, often used in descriptive statistics and machine learning. Use of the proposed methodology is demonstrated using a case study incorporating four algorithms for calculating a user’s social influence.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Sociologija



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Ignac Lovrek (autor)

Avatar Url Vedran Podobnik (autor)

Avatar Url Vanja Smailović (autor)

Citiraj ovu publikaciju

Smailović, Vanja; Podobnik, Vedran; Lovrek, Ignac
A Methodology for Evaluating Algorithms that Calculate Social Influence in Complex Social Networks // Complexity, 2018 (2018), 1084795, 20 doi:10.1155/2018/1084795 (međunarodna recenzija, članak, znanstveni)
Smailović, V., Podobnik, V. & Lovrek, I. (2018) A Methodology for Evaluating Algorithms that Calculate Social Influence in Complex Social Networks. Complexity, 2018, 1084795, 20 doi:10.1155/2018/1084795.
@article{article, year = {2018}, pages = {20}, DOI = {10.1155/2018/1084795}, chapter = {1084795}, keywords = {online social networks, Facebook, data analytics, social influence, SmartSocial}, journal = {Complexity}, doi = {10.1155/2018/1084795}, volume = {2018}, issn = {1076-2787}, title = {A Methodology for Evaluating Algorithms that Calculate Social Influence in Complex Social Networks}, keyword = {online social networks, Facebook, data analytics, social influence, SmartSocial}, chapternumber = {1084795} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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