Stop-and-stare: Optimal sampling algorithms for viral marketing in billion-scale networks
Influence Maximization (IM), that seeks a small set of key users who spread the influence
widely into the network, is a core problem in multiple domains. It finds applications in viral …
widely into the network, is a core problem in multiple domains. It finds applications in viral …
A survey on centrality metrics and their network resilience analysis
Centrality metrics have been studied in the network science research. They have been used
in various networks, such as communication, social, biological, geographic, or contact …
in various networks, such as communication, social, biological, geographic, or contact …
Marketing viral:: Aplicación y tendencias
PD Hurtado, AT Cardona, DR Ramírez… - Clío América, 2020 - dialnet.unirioja.es
El propósito de este documento es explorar la estructura intelectual del marketing viral, su
evolución y tendencias de investigación. Para ello, a partir de técnicas y herramientas de la …
evolución y tendencias de investigación. Para ello, a partir de técnicas y herramientas de la …
Holistic influence maximization: Combining scalability and efficiency with opinion-aware models
The steady growth of graph data from social networks has resulted in wide-spread research
in finding solutions to the influence maximization problem. In this paper, we propose a …
in finding solutions to the influence maximization problem. In this paper, we propose a …
Social media and e-commerce: A scientometrics analysis
E Javid, M Nazari, M Ghaeli - International Journal of Data and …, 2019 - growingscience.com
The purpose of this research is to investigate the status and the evolution of the scientific
studies on the effect of social networks on e-commerce. The study seeks to address the …
studies on the effect of social networks on e-commerce. The study seeks to address the …
Least cost influence maximization across multiple social networks
Recently, in online social networks (OSNs), the least cost influence (LCI) problem has
become one of the central research topics. It aims at identifying a minimum number of seed …
become one of the central research topics. It aims at identifying a minimum number of seed …
Multi-criteria decision support for planning and evaluation of performance of viral marketing campaigns in social networks
The current marketing landscape, apart from conventional approaches, consists of
campaigns designed especially for launching information diffusion processes within online …
campaigns designed especially for launching information diffusion processes within online …
An efficient and effective hop-based approach for influence maximization in social networks
Influence maximization in social networks is a classic and extensively studied problem that
targets at selecting a set of initial seed nodes to spread the influence as widely as possible …
targets at selecting a set of initial seed nodes to spread the influence as widely as possible …
Influence maximization meets efficiency and effectiveness: A hop-based approach
Influence Maximization is an extensively-studied problem that targets at selecting a set of
initial seed nodes in the Online Social Networks (OSNs) to spread the influence as widely as …
initial seed nodes in the Online Social Networks (OSNs) to spread the influence as widely as …
Profit maximization for multiple products in online social networks
Information propagation in online social networks (OSNs), which helps sha** consumers'
purchasing decisions, has received a lot of attention. The ultimate goal of marketing and …
purchasing decisions, has received a lot of attention. The ultimate goal of marketing and …