A5021809411- Digital Games and Media
- Gambling Behavior and Treatments
- Impact of Technology on Adolescents
- Computational Drug Discovery Methods
- Artificial Intelligence in Games
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Evolutionary Game Theory and Cooperation
- Educational Games and Gamification
- Sports Analytics and Performance
- Opinion Dynamics and Social Influence
- Media, Gender, and Advertising
- Experimental Behavioral Economics Studies
- Digital Marketing and Social Media
University of Southern California
2022-2024
Viterbo University
2022
University of Utah
2019
Rice University
2016
It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal influences signaling networks. We used phosphoprotein data from cancer cell lines as well silico a nonlinear dynamical model. Using data, scored more 2,000 submitted by challenge participants. The spanned 32 contexts and were terms of validity with...
Understanding social interactions and generous behaviors have long been of considerable interest in the science community. While contagion generosity is documented real world, less known about such phenomenon virtual worlds whether it has an actionable impact on user behavior retention. In this work, we analyze dynamics world popular massively multiplayer online role-playing game (MMORPG) Sky: Children Light. We develop a framework to reveal patterns environments provide empirical evidence...
Este estudio combina datos encuestas y comportamientais para examinar las conexiones entre motivaciones sociorrelacionales, los comportamientos de socialización el capital social del juego. Las personas que participaron fueron jugadores estadounidenses (N = 1.027; 65 % mujeres) un juego fantasía popular jugadoras. En consonancia con la teoría roles género, jugadoras en mayores socialización. Además, siguiendo usos gratificaciones social, sabelotodo socializadoras, así como socialización,...
Win prediction is crucial to understanding skill modeling, teamwork and matchmaking in esports. In this paper we propose GCN-WP, a semi-supervised win model for esports based on graph convolutional networks. This learns the structure of an league over course season (1 year) makes predictions another similar league. integrates 30 features about match players employs convolution classify games their neighborhood. Our achieves state-of-the-art accuracy when compared machine learning or rating...
This study investigates the concept of flexibility within League Legends, a popular online multiplayer game, focusing on relationship between user adaptability and team success. Utilizing dataset encompassing players varying skill levels play styles, we calculate two measures for each player: overall temporal flexibility. Our findings suggest that is dependent upon user's preferred style, does impact match outcome. work also shows level not only indicates how willing player to adapt their...
It is crucial to develop reusable methods for explaining and evaluating esports given their popularity diversity. Quantifying skill in an esport has the potential improve win prediction, matchmaking, storytelling these games. Arpad Elo’s modeling system chess been adapted many games sports. In each instance, modeler challenged with tuning parameters optimize some metric, usually accuracy. Often approaches are one-off lack consistency. We propose SCOPE, a framework that uses grid search...
Understanding social interactions and generous behaviors have long been of considerable interest in the science community. While contagion generosity is documented real world, less known about such phenomenon virtual worlds whether it has an actionable impact on user behavior retention. In this work, we analyze dynamics world popular massively multiplayer online role-playing game (MMORPG) Sky: Children Light. We develop a framework to reveal patterns environments provide empirical evidence...
Win prediction is crucial to understanding skill modeling, teamwork and matchmaking in esports. In this paper we propose GCN-WP, a semi-supervised win model for esports based on graph convolutional networks. This learns the structure of an league over course season (1 year) makes predictions another similar league. integrates 30 features about match players employs convolution classify games their neighborhood. Our achieves state-of-the-art accuracy when compared machine learning or rating...