43 citations · 57 across the 6 of their papers we have counts for
6 papers
Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media
Toktam A. Oghaz, Ivan Garibay
Recent advances in natural language processing (NLP) in online social media are evidently owed to large-scale datasets. However, labeling, storing, and processing a large number of…
A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19
Ece Çiğdem Mutlu, Toktam A. Oghaz, Jasser Jasser +5
At the time of this study, the SARS-CoV-2 virus that caused the COVID-19 pandemic has spread significantly across the world. Considering the uncertainty about policies, health risk…
Quantifying Latent Moral Foundations in Twitter Narratives: The Case of the Syrian White Helmets Misinformation
Ece Çiğdem Mutlu, Toktam Oghaz, Ege Tütüncüler +2
For years, many studies employed sentiment analysis to understand the reasoning behind people's choices and feelings, their communication styles, and the communities which they bel…
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model
Toktam A. Oghaz, Ece C. Mutlu, Jasser Jasser +2
Online social media platforms are turning into the prime source of news and narratives about worldwide events. However,a systematic summarization-based narrative extraction that ca…
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks
Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi +23
This paper explains the design of a social network analysis framework, developed under DARPA's SocialSim program, with novel architecture that models human emotional, cognitive and…
Review on Learning and Extracting Graph Features for Link Prediction
Ece C. Mutlu, Toktam A. Oghaz, Amirarsalan Rajabi +1
Link prediction in complex networks has attracted considerable attention from interdisciplinary research communities, due to its ubiquitous applications in biological networks, soc…