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Humberto T. Marques-Neto · Study

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Humberto T. Marques-Neto

10 works· latest 2023· 2 institutionscluster: provisionalORCID 0000-0002-3164-8323

h-index7

i105

Citations193

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Most cited in this library

Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election2018 · 62 citations
MobHet: Predicting human mobility using heterogeneous data sources2016 · 30 citations
Analyzing the workload dynamics of a mobile phone network in large scale events2012 · 27 citations
Understanding Human Mobility and Workload Dynamics Due to Different Large-Scale Events Using Mobile Phone Data2018 · 26 citations
Analyzing and characterizing political discussions in WhatsApp public groups2018 · 18 citations

Works

10 shown

Analyzing Polarization And Toxicity On Political Debate In Brazilian TikTok Videos Transcriptions

ACM Web Science Conference (WebSci)·2023·3 authors·other·Open access

8citations

Analyzing topic attention in online small groups

IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)·2021·6 authors·other

3citations

Characterizing Politically Engaged Users' Behavior During the 2016 US Presidential Campaign

IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)·2018·3 authors·other

7citations

Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election

Journal of Internet Services and Applications·2018·4 authors·Open access

62citations

Analyzing and characterizing political discussions in WhatsApp public groups

arXiv (Cornell University)·2018·7 authors·preprint·Open access

18citations

Understanding Human Mobility and Workload Dynamics Due to Different Large-Scale Events Using Mobile Phone Data

Journal of Network and Systems Management·2018·7 authors

26citations

Utilizando Análise de Sentimentos para Definição da Homofilia Política dos Usuários do Twitter durante a Eleição Presidencial Americana de 2016

Anais do Brazilian Workshop on Social Network Analysis and Mining (BraSNAM)·2017·4 authors·other·Open access

7citations

MobHet: Predicting human mobility using heterogeneous data sources

Computer Communications·2016·5 authors

30citations

MobDatU: A New Model for Human Mobility Prediction Based on Heterogeneous Data

Brazilian Symposium on Computer Networks and Distributed Systems (SBRC)·2015·4 authors·other

5citations

Analyzing the workload dynamics of a mobile phone network in large scale events

·2012·6 authors·other

27citations