Dynamic topic modeling of the COVID-19 Twitter narrative among US governors and cabinet executives
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 …
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' …
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 …
could enable the effective detection of public demands and help government departments …
Multivariate spatiotemporal hawkes processes and network reconstruction
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 …
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 …
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
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 …
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 …
many disciplines in re-cent years. Additionally, the problem of uncovering relationships …
A framework for intelligent Twitter data analysis with non-negative matrix factorization
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 …
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 …
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
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 …
attention in recent years. While topic models such as Latent Dirichlet Allocation (LDA) have …