It is of utmost importance for marketing academics and service industry practitioners to understand the factors that influence customer satisfaction. This study proposes a novel …
Agent-based modeling has proven to be a useful simulation tool in marketing to analyze what-if scenarios and support strategic marketing decisions. Over the years, the field has …
One important task in the study of information cascade is to predict the future recipients of a message given its past spreading trajectory. While the network structure serves as the …
Purpose This research tests empirically the level of consumer engagement with a product via a nonbrand-controlled platform. The authors explore how social media influencers and …
N Lang, Q Zha, L Wang - Information Fusion, 2023 - Elsevier
The boom of social network platforms has greatly enriched people's platform choices for social interactions, which may cause people to switch frequently in different social networks …
H Gong, C Guo - Expert Systems with Applications, 2023 - Elsevier
The influence maximization problem (IMP) has been one of the most attractive topics in the field of social networks. However, sometimes fairness in IMP should be considered …
X Liu, S Ye, G Fiumara… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traditional methods for influential node identification usually require time consuming network traversal to select the candidate node set. In this article we propose a new influence …
The information diffusion model is an important trending topic in the influence maximization problem that companies use it aiming to promote effective viral advertising campaigns at a …
Abstract Knowledge of influential actors on real networks is essential for designing policies for boosting the spread of positive things (eg, news and innovation) and preventing the …