84 citations · 406 across the 29 of their papers we have counts for
33 papers
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation
Yu Zhang, Wei Wei, Binxuan Huang +2
Real-time location inference of social media users is the fundamental of some spatial applications such as localized search and event detection. While tweet text is the most common…
Influencing the Influencers: Evaluating Person-to-Person Influence on Social Networks Using Granger Causality
Richard Kuzma, Iain J. Cruickshank, Kathleen M. Carley
We introduce a novel method for analyzing person-to-person content influence on Twitter. Using an Ego-Alter framework and Granger Causality, we examine President Donald Trump (the…
The Role of Masks in Mitigating Viral Spread on Networks
Yurun Tian, Anirudh Sridhar, Chai Wah Wu +4
Masks have remained an important mitigation strategy in the fight against COVID-19 due to their ability to prevent the transmission of respiratory droplets between individuals. In…
Exploring Polarization of Users Behavior on Twitter During the 2019 South American Protests
Ramon Villa-Cox, Helen, Zeng +2
Research across different disciplines has documented the expanding polarization in social media. However, much of it focused on the US political system or its culturally controvers…
A Weakly Supervised Approach for Classifying Stance in Twitter Replies
Sumeet Kumar, Ramon Villa Cox, Matthew Babcock +1
Conversations on social media (SM) are increasingly being used to investigate social issues on the web, such as online harassment and rumor spread. For such issues, a common thread…
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
Shahan Ali Memon, Kathleen M. Carley
From conspiracy theories to fake cures and fake treatments, COVID-19 has become a hot-bed for the spread of misinformation online. It is more important than ever to identify method…
Polarizing Tweets on Climate Change
Aman Tyagi, Matthew Babcock, Kathleen M. Carley +1
We introduce a framework to analyze the conversation between two competing groups of Twitter users, one who believe in the anthropogenic causes of climate change (Believers) and a…
Affective Polarization in Online Climate Change Discourse on Twitter
Aman Tyagi, Joshua Uyheng, Kathleen M. Carley
Online social media has become an important platform to organize around different socio-cultural and political topics. An extensive scholarship has discussed how people are divided…
Social Cybersecurity Chapter 13: Casestudy with COVID-19 Pandemic
David M. Beskow, Kathleen M. Carley
The purpose of this case study is to leverage the concepts and tools presented in the preceding chapters and apply them in a real world social cybersecurity context. With the COVID…
Characterizing Communities of Hashtag Usage on Twitter During the 2020 COVID-19 Pandemic by Multi-view Clustering
Iain J. Cruickshank, Kathleen M. Carley
The COVID-19 pandemic has produced a flurry of online activity on social media sites. As such, analysis of social media data during the COVID-19 pandemic can produce unique insight…
Bot-Match: Social Bot Detection with Recursive Nearest Neighbors Search
David M. Beskow, Kathleen M. Carley
Social bots have emerged over the last decade, initially creating a nuisance while more recently used to intimidate journalists, sway electoral events, and aggravate existing socia…
Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations
Ramon Villa-Cox, Sumeet Kumar, Matthew Babcock +1
Automated ways to extract stance (denying vs. supporting opinions) from conversations on social media are essential to advance opinion mining research. Recently, there is a renewed…
Disinformation and Misinformation on Twitter during the Novel Coronavirus Outbreak
Binxuan Huang, Kathleen M. Carley
As the novel coronavirus spread globally, a growing public panic was expressed over the internet. We examine the public discussion concerning COVID-19 on Twitter. We use a dataset…
Characterizing Sociolinguistic Variation in the Competing Vaccination Communities
Shahan Ali Memon, Aman Tyagi, David R. Mortensen +1
Public health practitioners and policy makers grapple with the challenge of devising effective message-based interventions for debunking public health misinformation in cyber commu…
A Computational Analysis of Polarization on Indian and Pakistani Social Media
Aman Tyagi, Anjalie Field, Priyank Lathwal +2
Between February 14, 2019 and March 4, 2019, a terrorist attack in Pulwama, Kashmir followed by retaliatory airstrikes led to rising tensions between India and Pakistan, two nuclea…
Measuring Node Contribution to Community Structure with Modularity Vitality
Thomas Magelinski, Mihovil Bartulovic, Kathleen M. Carley
Community-aware centrality is an emerging research area in network science concerned with the importance of nodes in relation to community structure. Measures are a function of a n…
A Complex Networks Approach to Find Latent Clusters of Terrorist Groups
Gian Maria Campedelli, Iain Cruickshank, Kathleen M. Carley
Given the extreme heterogeneity of actors and groups participating in terrorist actions, investigating and assessing their characteristics can be important to extract relevant info…
A Hierarchical Location Prediction Neural Network for Twitter User Geolocation
Binxuan Huang, Kathleen M. Carley
Accurate estimation of user location is important for many online services. Previous neural network based methods largely ignore the hierarchical structure among locations. In this…
Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection
Thomas Magelinski, David Beskow, Kathleen M. Carley
Neural networks are increasingly used for graph classification in a variety of contexts. Social media is a critical application area in this space, however the characteristics of s…
Location Order Recovery in Trails with Low Temporal Resolution
Binxuan Huang, Kathleen M. Carley
Researchers who study object movement problems related to topics like traffic flow analysis, patient monitoring, and software operation, need to know the correct order in which obj…
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification
Binxuan Huang, Kathleen M. Carley
We introduce a novel parameterized convolutional neural network for aspect level sentiment classification. Using parameterized filters and parameterized gates, we incorporate aspec…
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
Binxuan Huang, Kathleen M. Carley
Aspect level sentiment classification aims to identify the sentiment expressed towards an aspect given a context sentence. Previous neural network based methods largely ignore the…
A Large-Scale Empirical Study of Geotagging Behavior on Twitter
Binxuan Huang, Kathleen M. Carley
Geotagging on social media has become an important proxy for understanding people's mobility and social events. Research that uses geotags to infer public opinions relies on severa…
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning
Binxuan Huang, Kathleen M. Carley
In this paper, we study the problem of node representation learning with graph neural networks. We present a graph neural network class named recurrent graph neural network (RGNN),…