72 citations · 187 across the 18 of their papers we have counts for
12 papers · 1 filter
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…
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…
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…
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…
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…
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…