activity
19982022
most citedOn the Stewart-Lyth Inverse Problem

20 citations · 87 across the 18 of their papers we have counts for

collaborators

20 papers

q-bio.PE2022

Discrete Gompertz and Generalized Logistic Models for early monitoring of the COVID-19 pandemic in Cuba

María T. Pérez-Maldonado, Julián Bravo-Castillero, Ricardo Mansilla +1

For the last few years there has been a resurgence in the use of phenomenological growth models for predicting the early dynamics of infectious diseases. These models assume that t…

nlin.AO2021

Ordinal Synchronization and Typical States in High-Frequency Digital Markets

Mario López Pérez, Ricardo Mansilla

In this paper we study Algorithmic High-Frequency Financial Markets as dynamical networks. After an individual analysis of 24 stocks of the US market during a trading year of fully…

cs.SI2021★ 1 cited

Analyzing time series activity of Twitter political spambots

Oscar Fontanelli, Aldo Venegas, Ricardo Mansilla

The presence and complexity of political Twitter bots has increased in recent years, making it a very difficult task to recognize these accounts from real, human users. We intended…

cs.SI2020

Modeling the Popularity of Twitter Hashtags with Master Equations

Oscar Fontanelli, Ricardo Mansilla

In this work we introduce a model based on master equations to describe the time evolution of the popularity of topics and hashtags on the Twitter social network. Specifically, we…

q-fin.ST2020

Analysis of intra-day fluctuations in the Mexican financial market index

Léster Alfonso, Danahe E. Garcia-Ramirez, Ricardo Mansilla +1

In this paper, a statistical analysis of high frequency fluctuations of the IPC, the Mexican Stock Market Index, is presented. A sample of tick-to-tick data covering the period fro…

stat.ME2019

Beta Rank Function: A Smooth Double-Pareto-Like Distribution

Oscar Fontanelli, Pedro Miramontes, Ricardo Mansilla +2

The Beta Rank Function (BRF) , where is the normalized and continuous rank of an observation , has wide applications in fitting real-world data from soci…