Jussara M Almeida

Datos Biográficos

ID369788
NOMBREJussara M Almeida
NOMBRESJussara M
APELLIDOAlmeida
FIRMAALMEIDA J M
AFILIACIONESUniversidade Federal de Minas Gerais
ORCID0000-0001-9142-2919
VERIFICADOSí
TOTAL DE OBRAS11
TOTAL DE CITAS0
TOTAL COMO AUTOR11
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN1997
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0

  • The complex ecosystem of hyperprolific authors

    Open AccessJussara M Almeida, Alessia Antelmi et al.ARTICLEScientometrics2026

    In recent years, the rise of hyperprolific authors, researchers with exceptionally high publication counts, has drawn increasing attention in debates on research integrity and evaluation. While such productivity may reflect legitimate collaboration and large-scale science, it also raises concerns about questionable research practices, distorted incentives, and the reliability of scholarly assessment. Despite its prominence, the phenomenon remains…

  • Why are you traveling? Inferring trip profiles from online reviews and domain-knowledge

    Open AccessLucas G S Félix, Washington Cunha et al.ARTICLEOnline Social Networks and Media2025

  • Tracing the 2024 U.S. election debate on Telegram with LLMs and graph analysis

    Open AccessGiordano Paoletti, Carlos H G Ferreira et al.ARTICLESocial Network Analysis and Mining2025

    We examine conversations on Telegram during the 2024 U.S. elections to understand how political narratives emerge and cluster at scale. We propose a general-purpose pipeline that combines message-level topic modeling with co-forwarding graph analysis to filter thematically relevant chats. LLM-based daily summarization and encoding are then applied to detect topics and trace the dynamics of chat attention over time in large-scale conversational da…

  • A network-driven study of hyperprolific authors in computer science

    Open AccessVinícius da Fonseca Vieira, Carlos H G Ferreira et al.ARTICLEScientometrics2024

  • Intellectual dark web, alt-lite and alt-right

    Open AccessBreno Matos, Breno de Sousa Matos et al.ARTICLESocial Network Analysis and Mining2024

  • Characterizing fashion influencers’ behavior on instagram

    Open AccessJoão Paulo Oliveira Cruz, Lucia C Passaro et al.ARTICLESocial Network Analysis and Mining2024

  • Metrics of social curiosity

    Open AccessAlexandre Magno Sousa, Jussara M Almeida et al.ARTICLEOnline Social Networks and Media2022

  • On the dynamics of political discussions on Instagram

    Open AccessCarlos H G Ferreira, Fabrício Murai et al.ARTICLEOnline Social Networks and Media2021

  • Where are the ‘key’ words? Optimizing multimedia textual attributes to improve viewership

    Open AccessTatiana Barcelos Pontes, Tatiana Pontes et al.ARTICLEFirst Monday2015

    Multimedia content is central to our experience on the Web. Specifically, users frequently search and watch videos online. The textual features that accompany such content (e.g., title, description, and tags) can generally be optimized to attract more search traffic and ultimately to increase the advertisement-generated revenue.This study investigates whether automating tag selection for online video content with the goal of increasing viewership…

  • Video pollution on the Web

    Open AccessFabrício Benevenuto, Tiago Rodrigues et al.ARTICLEFirst Monday2010

    Videos have become a predominant part of users’ daily lives on the Web, especially with the emergence of video sharing services, such as YouTube. Part of the huge success of multimedia content in the Web is due to the change on the user perspective from content consumer to content creator. However, by allowing users to publicize their independently generated content, video sharing networks become susceptible to different types of pollution. As ex…

  • WebMonitor

    Open AccessJussara M Almeida, Virgílio Almeida et al.ARTICLEFirst Monday1997

    Server performance has become a crucial issue for improving the overall performance of the World-Wide Web. This paper describes WebMonitor, a tool for evaluating and understanding server performance, and presents new results for realistic workloads. WebMonitor measures activity and resource consumption, both within the kernel and in HTTP processes running in user space. WebMonitor is implemented using an efficient combination of sampling and even…