Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Balázs R Sziklai

Biographic Data

ID1835743
NAMEBalázs R Sziklai
GIVEN NAMESBalázs R
FAMILY NAMESziklai
SIGNATURESZIKLAI B R
AFFILIATIONSCorvinus University of Budapest
ORCID0000-0002-0068-8920
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS3
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Realistic models for diffusion of innovation

    Open Access•Balázs R Sziklai, Kate Barnes et al.•ARTICLE•Social Network Analysis and Mining•2025

    It is widely acknowledged in the socio-economic literature that innovators and early adopters play an essential role in the diffusion of innovation. However, current approaches to influence maximization primarily concentrate on identifying influencers as the main targets of marketing campaigns. This perspective overlooks the fact that influencers and innovators seldom coincide, rendering the focus of influence maximization models misplaced. Pract…

  • Audience selection for maximizing social influence

    Open Access•Balázs R Sziklai, Balázs Lengyel•ARTICLE•Network Science•2024•References: 4

    Viral marketing campaigns target primarily those individuals who are central in social networks and hence have social influence. Marketing events, however, may attract diverse audience. Despite the importance of event marketing, the influence of heterogeneous target groups is not well understood yet. In this paper, we define the Audience Selection (AS) problem in which different sets of agents need to be evaluated and compared based on their soci…

  • Finding early adopters of innovation in social networks

    Open Access•Balázs R Sziklai, Balázs Lengyel•ARTICLE•Social Network Analysis and Mining•2022•References: 53

    Social networks play a fundamental role in the diffusion of innovation through peers' influence on adoption. Thus, network position including a wide range of network centrality measures has been used to describe individuals' affinity to adopt an innovation and their ability to propagate diffusion. Yet, social networks are assortative in terms of susceptibility and influence and in terms of network centralities as well. This makes the identificati…

  • Resource-monotonicity and population-monotonicity in connected cake-cutting

    Open Access•Erel Segal-Halevi, Balázs R Sziklai•ARTICLE•Mathematical Social Sciences•2018•Cited by: 3•References: 28

  • Fair apportionment in the view of the Venice Commission’s recommendation

    Open Access•Péter Bíró, László Á Kóczy et al.•ARTICLE•Mathematical Social Sciences•2015•References: 18

  • Resource-monotonicity and population-monotonicity in connected cake-cutting

    Open Access•Erel Segal-Halevi, Balázs R Sziklai•ARTICLE•Mathematical Social Sciences•2018•Cited by: 3•References: 28

  • Fair apportionment in the view of the Venice Commission’s recommendation

    Open Access•Péter Bíró, László Á Kóczy et al.•ARTICLE•Mathematical Social Sciences•2015•References: 18

  • Resource-monotonicity and population-monotonicity in connected cake-cutting

    Open Access•Erel Segal-Halevi, Balázs R Sziklai•ARTICLE•Mathematical Social Sciences•2018•Cited by: 3•References: 28

  • Finding early adopters of innovation in social networks

    Open Access•Balázs R Sziklai, Balázs Lengyel•ARTICLE•Social Network Analysis and Mining•2022•References: 53

    Social networks play a fundamental role in the diffusion of innovation through peers' influence on adoption. Thus, network position including a wide range of network centrality measures has been used to describe individuals' affinity to adopt an innovation and their ability to propagate diffusion. Yet, social networks are assortative in terms of susceptibility and influence and in terms of network centralities as well. This makes the identificati…

  • Audience selection for maximizing social influence

    Open Access•Balázs R Sziklai, Balázs Lengyel•ARTICLE•Network Science•2024•References: 4

    Viral marketing campaigns target primarily those individuals who are central in social networks and hence have social influence. Marketing events, however, may attract diverse audience. Despite the importance of event marketing, the influence of heterogeneous target groups is not well understood yet. In this paper, we define the Audience Selection (AS) problem in which different sets of agents need to be evaluated and compared based on their soci…

  • Realistic models for diffusion of innovation

    Open Access•Balázs R Sziklai, Kate Barnes et al.•ARTICLE•Social Network Analysis and Mining•2025

    It is widely acknowledged in the socio-economic literature that innovators and early adopters play an essential role in the diffusion of innovation. However, current approaches to influence maximization primarily concentrate on identifying influencers as the main targets of marketing campaigns. This perspective overlooks the fact that influencers and innovators seldom coincide, rendering the focus of influence maximization models misplaced. Pract…

Computer Science (4 works) · Mathematics (4 works) · Business (3 works) · Complex Network Analysis Techniques (2 works) · Economics (2 works) · Innovation Diffusion and Forecasting (2 works) · Machine learning (2 works) · Marketing (2 works) · Maximization (2 works) · Opinion Dynamics and Social Influence (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae