From the Social Networks Analysis (SNA) perspective, Viral Marketing has the aim to maximize the number of people that become aware of a given product/service by identifying a few number of individuals, considered more “influential” that can be promoted products or services. In this paper we propose a novel concept of influence graph that can be easily derived by querying social network modelled as a graph. Furthermore, spread diffusion model has been defined as a Combinatorial Multi-Armed Bandit (CMAB) problem for retrieving the most influential users, without any kind of preliminary knowledge.
Querying influence graphs over online social networks effectively and efficiently / Moscato, V.; Picariello, A.; Sperli, G.; Cuzzocrea, A.. - 2400:(2019). (Intervento presentato al convegno 27th Italian Symposium on Advanced Database Systems, SEBD 2019 tenutosi a ita nel 2019).
Querying influence graphs over online social networks effectively and efficiently
Moscato V.;Picariello A.;Sperli G.;Cuzzocrea A.
2019
Abstract
From the Social Networks Analysis (SNA) perspective, Viral Marketing has the aim to maximize the number of people that become aware of a given product/service by identifying a few number of individuals, considered more “influential” that can be promoted products or services. In this paper we propose a novel concept of influence graph that can be easily derived by querying social network modelled as a graph. Furthermore, spread diffusion model has been defined as a Combinatorial Multi-Armed Bandit (CMAB) problem for retrieving the most influential users, without any kind of preliminary knowledge.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
