Influence model based on actions and reactions in social networks
| Autor: | Monika Rakoczy, Amel Bouzeghoub, Alda Gancarski Lopes, Katarzyna Wegrzyn-Wolska |
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| Přispěvatelé: | Rakoczy, Monika Ewa, Algorithmes, Composants, Modèles Et Services pour l'informatique répartie (ACMES-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Informatique (INF), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre National de la Recherche Scientifique (CNRS), AllianSTIC-EFREI, Telecom SudParis |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | [Research Report] Telecom SudParis. 2018 HAL |
| Popis: | Today's social networks allow users to react to new contents such as images, posts and messages in numerous ways. For example, a user, impressed by another user's post, might react to it by liking it and then sharing it forward to her friends. Therefore, a successful estimation of the influence between users requires models to be expressive enough to fully describe various reactions. In this article, we aim to utilize those direct reactive activities, in order to calculate users impact on others. Hence, we propose a flexible method that considers type, quality, quantity and time of reactions and, as a result, the method assesses the influence dependencies within the social network. The experiments conducted using two different real-world datasets of Facebook and Pinterest show the adequacy and flexibility of the proposed model, that is adaptive to data having different features. |
| Databáze: | OpenAIRE |
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