72 citations · 187 across the 18 of their papers we have counts for
23 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…
Ethical AI for Social Good
Ramya Akula, Ivan Garibay
The concept of AI for Social Good(AI4SG) is gaining momentum in both information societies and the AI community. Through all the advancement of AI-based solutions, it can solve soc…
Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social media
Ramya Akula, Ivan Garibay
Sarcasm is a linguistic expression often used to communicate the opposite of what is said, usually something that is very unpleasant with an intention to insult or ridicule. Inhere…
CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter
Ece Çiğdem Mutlu, Amirarsalan Rajabi, Ivan Garibay
Information spreading social media platforms has become ubiquitous in our lives due to viral information propagation regardless of its veracity. Some information cascades turn out…
Controversial information spreads faster and further in Reddit
Jasser Jasser, Ivan Garibay, Steve Scheinert +1
Online users discuss and converse about all sorts of topics on social networks. Facebook, Twitter, Reddit are among many other networks where users can have this freedom of informa…
Effects of Non-Cognitive Factors on Post-Secondary Persistence of Deaf Students: An Agent-Based Modeling Approach
Marie Alaghband, Ivan Garibay
Post-secondary education persistence is the likelihood of a student remaining in post-secondary education. Although statistics show that post-secondary persistence for deaf student…
NS 1987A in SN 1987A
Dany Page, Mikhail V. Beznogov, Iván Garibay +3
The possible detection of a compact object in the remnant of SN 1987A presents an unprecedented opportunity to follow its early evolution. The suspected detection stems from an exc…
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…
Effects of Assortativity on Consensus Formation with Heterogeneous Agents
Ece Çiğdem Mutlu, Ivan Garibay
Despite the widespread use of Barabasi's scale-free networks and Erdos-Renyi networks of which degree correlation (assortativity) is neutral, numerous studies demonstrated that onl…
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…
Resistance of communities against disinformation
Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, Ivan Garibay
The spread of disinformation is considered a big threat to societies and has recently received unprecedented attention. In this paper we propose an agent-based model to simulate di…
The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks
Ece C. Mutlu, Ivan Garibay
With the rapid growth of online social media, people become increasingly overwhelmed by the volume and the content of the information present in the environment. The threshold mode…
Facial Expression Phoenix (FePh): An Annotated Sequenced Dataset for Facial and Emotion-Specified Expressions in Sign Language
Marie Alaghband, Niloofar Yousefi, Ivan Garibay
Facial expressions are important parts of both gesture and sign language recognition systems. Despite the recent advances in both fields, annotated facial expression datasets in th…
A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection
Niloofar Yousefi, Marie Alaghband, Ivan Garibay
With the increase of credit card usage, the volume of credit card misuse also has significantly increased. As a result, financial organizations are working hard on developing and d…
Forecasting the Success of Television Series using Machine Learning
Ramya Akula, Zachary Wieselthier, Laura Martin +1
Television is an ever-evolving multi billion dollar industry. The success of a television show in an increasingly technological society is a vast multi-variable formula. The art of…
DeepFork: Supervised Prediction of Information Diffusion in GitHub
Ramya Akula, Niloofar Yousefi, Ivan Garibay
Information spreads on complex social networks extremely fast, in other words, a piece of information can go viral within no time. Often it is hard to barricade this diffusion prio…
The Effects of Information Overload on Online Conversation Dynamics
Chathika Gunaratne, Nisha Baral, William Rand +3
The inhibiting effects of information overload on the behavior of online social media users, can affect the population-level characteristics of information dissemination through on…
Growing green: the role of path dependency and structural jumps in the green economy expansion
Seyyedmilad Talebzadehhosseini, Steven R. Scheinert, Ivan Garibay
Existing research argues that countries increase their production basket by adding products which require similar capabilities to those they already produce, a process referred to…
A Cross-Repository Model for Predicting Popularity in GitHub
Neda Hajiakhoond Bidoki, Gita Sukthankar, Heather Keathley +1
Social coding platforms, such as GitHub, can serve as natural laboratories for studying the diffusion of innovation through tracking the pattern of code adoption by programmers. Th…
NL4Py: Agent-Based Modeling in Python with Parallelizable NetLogo Workspaces
Chathika Gunaratne, Ivan Garibay
External control of agent-based models is vital for complex adaptive systems research. Often these experiments require vast numbers of simulation runs and are computationally expen…
How polarization can provide an increase in content dissemination amongst the highly ranked influencers
Cameron E. Taylor, Ivan Garibay, Alexander V. Mantzaris
This work extends a model of simulating influence in a network of stochastic edge dynamics to account for polarization. The model built upon is termed Dynamic Communicators and see…
Evolutionary model discovery of causal factors behind the socio-agricultural behavior of the ancestral Pueblo
Chathika Gunaratne, Ivan Garibay, Nguyen Dang
Agent-based modeling of artificial societies offers a platform to test human-interpretable, causal explanations of human behavior that generate society-scale phenomena. However, pa…
Transformation Networks: How Innovation and the Availability of Technology can Increase Economic Performance
Christopher D. Hollander, Ivan Garibay
A transformation network describes how one set of resources can be transformed into another via technological processes. Transformation networks in economics are useful because the…