The Experts below are selected from a list of 11058 Experts worldwide ranked by ideXlab platform

Denis Helic - One of the best experts on this subject based on the ideXlab platform.

  • The influence of social status and network structure on Consensus Building in collaboration networks
    Social Network Analysis and Mining, 2016
    Co-Authors: Ilire Hasani-mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
    Abstract:

    In this paper, we analyze the influence of social status on opinion dynamics and Consensus Building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical networks and take into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various society forms in collaboration networks, as well as the emergence or disappearance of social classes. In particular, we are interested in the way how these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals’ social status and (ii) this effect is intricate and non-obvious. Our results suggest that in most of the networks the social status favors Consensus Building. However, relying on it too strongly can also slow down the opinion diffusion, indicating that there is a specific setting for an optimal benefit of social status on the Consensus Building. On the other hand, in networks where status does not correlate with degree or in networks with a positive degree assortativity Consensus is always reached quickly regardless of the status.

  • ASONAM - The Influence of Social Status on Consensus Building in Collaboration Networks
    Proceedings of the 2015 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15, 2015
    Co-Authors: Ilire Hasani-mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
    Abstract:

    In this paper, we analyze the influence of social status on opinion dynamics and Consensus Building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical collaboration networks by taking into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various situations in collaboration networks, such as the emergence or disappearance of social classes. In this work, we concentrate on studying three well-known forms of class society: egalitarian, ranked and stratified. In particular, we are interested in the way these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals' social status and (ii) this effect is intricate and non-obvious. In particular, although the social status favors Consensus Building, relying on it too strongly can slow down the opinion diffusion, indicating that there is a specific setting for each collaboration network in which social status optimally benefits the Consensus Building process.

Ilire Hasani-mavriqi - One of the best experts on this subject based on the ideXlab platform.

  • The influence of social status and network structure on Consensus Building in collaboration networks
    Social Network Analysis and Mining, 2016
    Co-Authors: Ilire Hasani-mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
    Abstract:

    In this paper, we analyze the influence of social status on opinion dynamics and Consensus Building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical networks and take into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various society forms in collaboration networks, as well as the emergence or disappearance of social classes. In particular, we are interested in the way how these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals’ social status and (ii) this effect is intricate and non-obvious. Our results suggest that in most of the networks the social status favors Consensus Building. However, relying on it too strongly can also slow down the opinion diffusion, indicating that there is a specific setting for an optimal benefit of social status on the Consensus Building. On the other hand, in networks where status does not correlate with degree or in networks with a positive degree assortativity Consensus is always reached quickly regardless of the status.

  • ASONAM - The Influence of Social Status on Consensus Building in Collaboration Networks
    Proceedings of the 2015 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15, 2015
    Co-Authors: Ilire Hasani-mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
    Abstract:

    In this paper, we analyze the influence of social status on opinion dynamics and Consensus Building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical collaboration networks by taking into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various situations in collaboration networks, such as the emergence or disappearance of social classes. In this work, we concentrate on studying three well-known forms of class society: egalitarian, ranked and stratified. In particular, we are interested in the way these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals' social status and (ii) this effect is intricate and non-obvious. In particular, although the social status favors Consensus Building, relying on it too strongly can slow down the opinion diffusion, indicating that there is a specific setting for each collaboration network in which social status optimally benefits the Consensus Building process.

Florian Geigl - One of the best experts on this subject based on the ideXlab platform.

  • The influence of social status and network structure on Consensus Building in collaboration networks
    Social Network Analysis and Mining, 2016
    Co-Authors: Ilire Hasani-mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
    Abstract:

    In this paper, we analyze the influence of social status on opinion dynamics and Consensus Building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical networks and take into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various society forms in collaboration networks, as well as the emergence or disappearance of social classes. In particular, we are interested in the way how these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals’ social status and (ii) this effect is intricate and non-obvious. Our results suggest that in most of the networks the social status favors Consensus Building. However, relying on it too strongly can also slow down the opinion diffusion, indicating that there is a specific setting for an optimal benefit of social status on the Consensus Building. On the other hand, in networks where status does not correlate with degree or in networks with a positive degree assortativity Consensus is always reached quickly regardless of the status.

  • ASONAM - The Influence of Social Status on Consensus Building in Collaboration Networks
    Proceedings of the 2015 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15, 2015
    Co-Authors: Ilire Hasani-mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
    Abstract:

    In this paper, we analyze the influence of social status on opinion dynamics and Consensus Building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical collaboration networks by taking into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various situations in collaboration networks, such as the emergence or disappearance of social classes. In this work, we concentrate on studying three well-known forms of class society: egalitarian, ranked and stratified. In particular, we are interested in the way these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals' social status and (ii) this effect is intricate and non-obvious. In particular, although the social status favors Consensus Building, relying on it too strongly can slow down the opinion diffusion, indicating that there is a specific setting for each collaboration network in which social status optimally benefits the Consensus Building process.

Subhash Chandra Pujari - One of the best experts on this subject based on the ideXlab platform.

  • The influence of social status and network structure on Consensus Building in collaboration networks
    Social Network Analysis and Mining, 2016
    Co-Authors: Ilire Hasani-mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
    Abstract:

    In this paper, we analyze the influence of social status on opinion dynamics and Consensus Building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical networks and take into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various society forms in collaboration networks, as well as the emergence or disappearance of social classes. In particular, we are interested in the way how these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals’ social status and (ii) this effect is intricate and non-obvious. Our results suggest that in most of the networks the social status favors Consensus Building. However, relying on it too strongly can also slow down the opinion diffusion, indicating that there is a specific setting for an optimal benefit of social status on the Consensus Building. On the other hand, in networks where status does not correlate with degree or in networks with a positive degree assortativity Consensus is always reached quickly regardless of the status.

  • ASONAM - The Influence of Social Status on Consensus Building in Collaboration Networks
    Proceedings of the 2015 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15, 2015
    Co-Authors: Ilire Hasani-mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
    Abstract:

    In this paper, we analyze the influence of social status on opinion dynamics and Consensus Building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical collaboration networks by taking into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various situations in collaboration networks, such as the emergence or disappearance of social classes. In this work, we concentrate on studying three well-known forms of class society: egalitarian, ranked and stratified. In particular, we are interested in the way these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals' social status and (ii) this effect is intricate and non-obvious. In particular, although the social status favors Consensus Building, relying on it too strongly can slow down the opinion diffusion, indicating that there is a specific setting for each collaboration network in which social status optimally benefits the Consensus Building process.

Elisabeth Lex - One of the best experts on this subject based on the ideXlab platform.

  • The influence of social status and network structure on Consensus Building in collaboration networks
    Social Network Analysis and Mining, 2016
    Co-Authors: Ilire Hasani-mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
    Abstract:

    In this paper, we analyze the influence of social status on opinion dynamics and Consensus Building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical networks and take into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various society forms in collaboration networks, as well as the emergence or disappearance of social classes. In particular, we are interested in the way how these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals’ social status and (ii) this effect is intricate and non-obvious. Our results suggest that in most of the networks the social status favors Consensus Building. However, relying on it too strongly can also slow down the opinion diffusion, indicating that there is a specific setting for an optimal benefit of social status on the Consensus Building. On the other hand, in networks where status does not correlate with degree or in networks with a positive degree assortativity Consensus is always reached quickly regardless of the status.

  • ASONAM - The Influence of Social Status on Consensus Building in Collaboration Networks
    Proceedings of the 2015 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15, 2015
    Co-Authors: Ilire Hasani-mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
    Abstract:

    In this paper, we analyze the influence of social status on opinion dynamics and Consensus Building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical collaboration networks by taking into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various situations in collaboration networks, such as the emergence or disappearance of social classes. In this work, we concentrate on studying three well-known forms of class society: egalitarian, ranked and stratified. In particular, we are interested in the way these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals' social status and (ii) this effect is intricate and non-obvious. In particular, although the social status favors Consensus Building, relying on it too strongly can slow down the opinion diffusion, indicating that there is a specific setting for each collaboration network in which social status optimally benefits the Consensus Building process.