The OPM data breach: An investigation of shared emotional reactions on Twitter.
This paper investigates the shared emotional responses of Twitter users in the aftermath of a
massive data breach, a crisis event known as the Office of Personnel Management (OPM) …
massive data breach, a crisis event known as the Office of Personnel Management (OPM) …
Emotional community detection in social networks
It is vastly acknowledged that analyzing social networks is a very challenging research area.
Take as a striking example the organization of vertices in clusters, with many edges joining …
Take as a striking example the organization of vertices in clusters, with many edges joining …
An apache spark implementation for sentiment analysis on twitter data
A Baltas, A Kanavos, AK Tsakalidis - … 22, 2016, Revised Selected Papers 2, 2017 - Springer
Abstract Sentiment Analysis on Twitter Data is a challenging problem due to the nature,
diversity and volume of the data. In this work, we implement a system on Apache Spark, an …
diversity and volume of the data. In this work, we implement a system on Apache Spark, an …
Who sets the tone? Determining the impact of convergence behaviour archetypes in social media crisis communication
Abstract Convergence Behaviour Archetypes (CBA) describe the behavioural traits of
individuals who spontaneously and collectively move towards emergency situations. If …
individuals who spontaneously and collectively move towards emergency situations. If …
A tale of two Twitterspheres: Political microblogging during and after the 2016 primary and presidential debates
In this research, the authors study the process by which social media posts are created and
shared during live political debates. Using data from over 9.5 million tweets posted during …
shared during live political debates. Using data from over 9.5 million tweets posted during …
Topic specific emotion detection for retweet prediction
SN Firdaus, C Ding, A Sadeghian - International Journal of Machine …, 2019 - Springer
Online social network is a great medium to express one's opinion, sentiment, preference,
and reaction on a topic. Tweets posted by Twitter users are used as a mechanism to share …
and reaction on a topic. Tweets posted by Twitter users are used as a mechanism to share …
Defining and evaluating Twitter influence metrics: a higher-order approach in Neo4j
Ranking account influence constitutes an important challenge in social media analysis. Until
recently, influence ranking relied solely on the structural properties of the underlying social …
recently, influence ranking relied solely on the structural properties of the underlying social …
Value-based retweet prediction on Twitter
S Kakar, D Dhaka, M Mehrotra - Informatica, 2021 - informatica.si
Retweeting is an online activity done on the twitter social network. This activity leads to
sharing of opinions and ideas from one person to another. Predicting retweet decision has …
sharing of opinions and ideas from one person to another. Predicting retweet decision has …
[PDF][PDF] Evaluating Twitter Influence Ranking with System Theory.
A considerable part of social network analysis literature is dedicated to determining which
individuals are to be considered as influential in particular social settings. Most established …
individuals are to be considered as influential in particular social settings. Most established …
Forecasting retweet count during elections using graph convolution neural networks
R Vijayan, G Mohler - … on Data Science and Advanced Analytics …, 2018 - ieeexplore.ieee.org
A retweet refers to sharing a tweet posted by another user on Twitter and is primary way
information spreads on the Twitter network. Political parties use Twitter extensively as a part …
information spreads on the Twitter network. Political parties use Twitter extensively as a part …