A review on collective behavior modeling and simulation: building a link between cognitive psychology and physical action
J Zhang, Q Qu, XB Chen - Applied Intelligence, 2023 - Springer
Collective behavior is a widespread and important phenomenon among human society,
biological populations, swarm robots and multi-agents. The mathematical model shows that …
biological populations, swarm robots and multi-agents. The mathematical model shows that …
Emerging trends in social media marketing: a retrospective review using data mining and bibliometric analysis
The study conducts a comprehensive retrospective analysis of the social media marketing
literature along with text mining and bibliometric analysis using data obtained from the …
literature along with text mining and bibliometric analysis using data obtained from the …
On network backbone extraction for modeling online collective behavior
Collective user behavior in social media applications often drives several important online
and offline phenomena linked to the spread of opinions and information. Several studies …
and offline phenomena linked to the spread of opinions and information. Several studies …
Social media influencer marketing and economic performance in the Spanish wine industry: unravelling the role of corporate social legitimacy
Purpose This research focuses firstly on the impact of Social Media Influencer Marketing
(SMIM) on the Economic Performance (EP) of Spanish wineries, and secondly on the …
(SMIM) on the Economic Performance (EP) of Spanish wineries, and secondly on the …
Improved sales time series predictions using deep neural networks with spatiotemporal dynamic pattern acquisition mechanism
D Li, K Lin, X Li, J Liao, R Du, D Chen… - Information Processing & …, 2022 - Elsevier
The ability to predict product sales is invaluable for improving many of the routine decisions
essential for the running of an enterprise. One significant challenge of sales prediction is that …
essential for the running of an enterprise. One significant challenge of sales prediction is that …
Causal aware parameterized quantum stochastic gradient descent for analyzing marketing advertisements and sales forecasting
Nowadays, all marketing companies are focusing on advertisements to maximize their sales
and profit. Media mix models are used by advertisers to measure how advertisements would …
and profit. Media mix models are used by advertisers to measure how advertisements would …
Do digital influencers successfully contribute to reducing the gap between customers and companies?
I Moreira, P Stenzel, JM Lopes… - BBR. Brazilian Business …, 2021 - SciELO Brasil
The purpose of this research is to analyze the role of digital influencers in the construction of
relationships between companies and consumers. A qualitative methodology was used …
relationships between companies and consumers. A qualitative methodology was used …
AugPrompt: Knowledgeable augmented-trigger prompt for few-shot event classification
Abstract Few-Shot Event Classification (FSEC) aims at assigning event labels to unlabeled
sentences when limited annotated samples are available. Existing works mainly focus on …
sentences when limited annotated samples are available. Existing works mainly focus on …
New research methods & algorithms in social network analysis
The exponential growth of social media and online social networks (eg, Facebook, Twitter,
Instagram, and TikTok) has changed the daily lives of millions of people. The ease to …
Instagram, and TikTok) has changed the daily lives of millions of people. The ease to …
Making sense of tweets using sentiment analysis on closely related topics
Microblogging has taken a considerable upturn in recent years, with the growth of
microblogging websites like Twitter people have started to share more of their opinions …
microblogging websites like Twitter people have started to share more of their opinions …