Compression for very sparse big social data
Technological advancements in the current era of big data have led to rapid generation and
collection of very large amounts of valuable data from a wide variety of rich data sources. As …
collection of very large amounts of valuable data from a wide variety of rich data sources. As …
An uncertainty quantification approach for agent-based modeling of human behavior in networked anagram games
In a group anagram game, players are provided letters to form as many words as possible.
They can also request letters from their neighbors and reply to letter requests. Currently, a …
They can also request letters from their neighbors and reply to letter requests. Currently, a …
An uncertainty quantification framework for agent-based modeling and simulation in networked anagram games
In a networked anagram game, players are provided letters with possible actions of
requesting letters from their neighbours, replying to letter requests, or forming words. The …
requesting letters from their neighbours, replying to letter requests, or forming words. The …
A Calibration Model For Bot-Like Behaviors In Agent-Based Anagram Game Simulation
Experiments that are games played among a network of players are widely used to study
human behavior. Furthermore, bots or intelligent systems can be used in these games to …
human behavior. Furthermore, bots or intelligent systems can be used in these games to …
Data analysis and modeling pipelines for controlled networked social science experiments
There is large interest in networked social science experiments for understanding human
behavior at-scale. Significant effort is required to perform data analytics on experimental …
behavior at-scale. Significant effort is required to perform data analytics on experimental …
Approaches to Uncertainty Quantification in Building Models of Human Behavior
In a group anagram game, players are provided letters to form as many words as possible.
They can also request letters from their neighbors and reply to letter requests. Currently, a …
They can also request letters from their neighbors and reply to letter requests. Currently, a …
Contributions to Efficient Statistical Modeling of Complex Data with Temporal Structures
Z Hu - 2022 - vtechworks.lib.vt.edu
This dissertation will focus on three research projects: Neighborhood vector auto regression
in multivariate time series, uncertainty quantification for agent-based modeling networked …
in multivariate time series, uncertainty quantification for agent-based modeling networked …
Data Analysis on a Domestic Media Space Connecting Internationally Distributed Families
Families separated by distance face the challenge of limited bonding, affecting their
opportunities to connect and sustain their relationships. FamilySong is a domestic Media …
opportunities to connect and sustain their relationships. FamilySong is a domestic Media …
On synthetic data generation for anomaly detection in complex social networks
A Sistrunk, V Cedeno, S Biswas - arXiv preprint arXiv:2010.13026, 2020 - arxiv.org
This paper studies the feasibility of synthetic data generation for mission-critical applications.
The emphasis is on synthetic data generation for anomalous detection in complex social …
The emphasis is on synthetic data generation for anomalous detection in complex social …