Vanessa Cedeno-Mieles

ORCID: 0000-0003-0475-9420
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About
Contact & Profiles
Research Areas
  • Opinion Dynamics and Social Influence
  • Complex Network Analysis Techniques
  • Data Visualization and Analytics
  • Scientific Computing and Data Management
  • Evolutionary Game Theory and Cooperation
  • Advanced Text Analysis Techniques
  • Multi-Agent Systems and Negotiation
  • ICT in Developing Communities
  • Evacuation and Crowd Dynamics
  • Innovative Approaches in Technology and Social Development
  • Mental Health Research Topics
  • Philosophy and History of Science
  • Multimedia Communication and Technology
  • E-Government and Public Services
  • Open Source Software Innovations
  • Advanced Graph Neural Networks
  • Auction Theory and Applications
  • Innovative Human-Technology Interaction

Escuela Superior Politecnica del Litoral
2020-2022

Virginia Tech
2018-2020

Biocom
2020

Polytechnic University of Puerto Rico
2018

Abduction is an inference approach that uses data and observations to identify plausible (and preferably, best) explanations for phenomena. Applications of abduction (e.g., robotics, genetics, image understanding) have largely been devoid human behavior. Here, we devise execute iterative abductive analysis process driven by the social sciences: behaviors interactions among groups subjects. One goal understand intra-group cooperation its effect on fostering collective identity. We build...

10.1109/asonam.2018.8508282 article EN 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2018-08-01

In anagram games, players are provided with letters for forming as many words possible over a specified time duration. Anagram games have been used in controlled experiments to study problems such collective identity, effects of goal-setting, internal-external attributions, test anxiety, and others. The majority work on involves individual players. Recently, has expanded group where cooperate by sharing letters. this work, we analyze experimental data from online social networked games. We...

10.1145/3341161.3342965 article EN 2019-08-27

There has been significant growth in online social science experiments order to understand behavior at-scale, with finer-grained data collection. Considerable work is required perform analytics for custom experiments. We also seek repeated networked and modeling an iterative loop. In this work, we design build four composable extensible automated software pipelines (1) analytics; (2) model property inference; (3) model/simulation; (4) results analysis comparisons between experimental...

10.1109/wsc.2018.8632478 article EN 2018 Winter Simulation Conference (WSC) 2018-12-01

Anagram games (i.e., word construction in which players use letters to form words) have been researched for some 60 years. Games with individual are the subject of over 20 published investigations. Moreover, there many popular commercial anagram such as Scrabble. Recently, cooperative team play has studied experimentally. With all experimental work and popularity games, it is somewhat surprising that very little modeling done predict player behavior/actions them. We devise a group game...

10.1109/wsc40007.2019.9004754 article EN 2018 Winter Simulation Conference (WSC) 2019-12-01

A healthy dialogue between civil society and governments stems from meaningful communication understanding of political data. Visualization tools have the potential to support this. To contribute a growing Digital Civics agenda in Global South, we built an interactive visualization prototype that enables open-ended analysis legislative roll-call vote data Ecuadorian parliament; actors were interviewed shown this tool explore future opportunities for open parliament technologies. This work...

10.1145/3491101.3519763 article EN CHI Conference on Human Factors in Computing Systems Extended Abstracts 2022-04-27

There is large interest in networked social science experiments for understanding human behavior at-scale. Significant effort required to perform data analytics on experimental outputs and computational modeling of custom experiments. Moreover, are often performed a cycle, enabling iterative refinement uncover interesting insights generate/refute hypotheses about behaviors. The current practice analysts develop tailor-made computer programs analytical scripts modeling. This leads...

10.1371/journal.pone.0242453 article EN cc-by PLoS ONE 2020-11-24

The problem of inferring unknown parameters a networked social system is considerable practical importance. We consider this for the independent cascade model using an active query framework. More specifically, given network whose edge probabilities are unknown, goal to infer probability value on each by querying system. optimization objective use as few queries possible in carrying out inference. present approximation algorithms that provide provably good estimates probabilities. also...

10.1145/3269206.3271790 article EN 2018-10-17

There has been significant growth in online social science experiments order to understand behavior at-scale, with finer-grained data collection. Considerable work is required perform analytics for custom experiments. We also seek repeated networked and modeling an iterative loop. In this work, we design build four composable extensible automated software pipelines (1) analytics; (2) model property inference; (3) model/simulation; (4) results analysis comparisons between experimental...

10.5555/3320516.3320618 article EN 2018-12-09

Families separated by distance face the challenge of limited bonding, affecting their opportunities to connect and sustain relationships. FamilySong is a domestic Media Space that fosters feelings togetherness via synchronized music-listening. was used in an experiment ran for six months, with distributed families. Detailed data collection, e.g. interaction routines music sharing patterns, gathered through system. These provide interesting insights into social behavior families how they over...

10.1145/3392561.3397584 article EN 2020-06-17
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