Dynamic topic modeling of the COVID-19 Twitter narrative among US governors and cabinet executives

H Sha, MA Hasan, G Mohler… - arXiv preprint arXiv …, 2020 - arxiv.org
A combination of federal and state-level decision making has shaped the response to
COVID-19 in the United States. In this paper we analyze the Twitter narratives around this …

Decoding the sentiment dynamics of online retailing customers: Time series analysis of social media

NF Ibrahim, X Wang - Computers in Human Behavior, 2019 - Elsevier
The Twittersphere often offers valuable information about current events. However, despite
the enormous quantity of tweets regarding online retailing, we know little about customers' …

Big data-assisted urban governance: forecasting social events with a periodicity by employing different time series algorithms

Z Zhang, X Lin, S Shan, Z Yin - Library Hi Tech, 2024 - emerald.com
Purpose This study aims to analyze government hotline text data and generating forecasts
could enable the effective detection of public demands and help government departments …

Multivariate spatiotemporal hawkes processes and network reconstruction

B Yuan, H Li, AL Bertozzi, PJ Brantingham… - SIAM Journal on …, 2019 - SIAM
There is often latent network structure in spatial and temporal data, and the tools of network
analysis can yield fascinating insights into such data. In this paper, we develop a …

Mutual-excitation of cryptocurrency market returns and social media topics

RC Phillips, D Gorse - Proceedings of the 4th international conference …, 2018 - dl.acm.org
Cryptocurrencies have recently experienced a new wave of price volatility and interest;
activity within social media communities relating to cryptocurrencies has increased …

Investigating clustering and violence interruption in gang-related violent crime data using spatial–temporal point processes with covariates

J Park, FP Schoenberg, AL Bertozzi… - Journal of the …, 2021 - Taylor & Francis
Reported gang-related violent crimes in Los Angeles, California, from 1/1/14 to 12/31/17 are
modeled using spatial–temporal marked Hawkes point processes with covariates. We …

An analysis of COVID-19 knowledge graph construction and applications

D Flocco, B Palmer-Toy, R Wang, H Zhu… - … Conference on Big …, 2021 - ieeexplore.ieee.org
The construction and application of knowledge graphs have seen a rapid increase across
many disciplines in re-cent years. Additionally, the problem of uncovering relationships …

A framework for intelligent Twitter data analysis with non-negative matrix factorization

G Casalino, C Castiello, N Del Buono… - International Journal of …, 2018 - emerald.com
Purpose The purpose of this paper is to propose a framework for intelligent analysis of
Twitter data. The purpose of the framework is to allow users to explore a collection of tweets …

Language usage on Twitter predicts crime rates

A Almehmadi, Z Joudaki, R Jalali - Proceedings of the 10th International …, 2017 - dl.acm.org
Social networks 1 produce enormous quantity of data. Twitter, a microblogging network,
consists of over 230 million active users posting over 500 million tweets every day. We …

A time-series based aggregation scheme for topic detection in Weibo short texts

T Ma, J Li, X Liang, Y Tian, A Al-Dhelaan… - Physica A: Statistical …, 2019 - Elsevier
Discovering hot topics within social network like Twitter and Weibo, has received much
attention in recent years. While topic models such as Latent Dirichlet Allocation (LDA) have …