Big Data Directed Acyclic Graph Model for Covid-19 Event Stream Detection (Publication)
The aim of this work is to detect anomalous events associated with COVID-19 from Twitter. To this end, we propose a distributed Directed Acyclic Graph topology framework to aggregate and process large-scale real-time tweets related to COVID-19. The core of our system is a novel lightweight algorithm that can automatically detect anomaly events.
In Spout.java, please configure these lines:
String consumerKey = "PUT YOUR consumerKey HERE";
String consumerSecret = "PUT YOUR consumerSecret HERE";
String accessToken = "PUT YOUR accessToken HERE";
String accessTokenSecret = "PUT YOUR accessTokenSecret HERE";
In map.php, please configure these lines:
accessToken: 'copy_your_access_token_here'
'access_key' => 'COPY_YOUR_ACCESS_KEY_HERE',
Import the "Apache Storm" as a maven project.
Import the "test.sql" into a MySQL DB named "test".
Put the "visual" folder in your www or htdocs directory.