Annamaria Ficara

Assistant Professor

University of Messina

Italy

Research Interests

Explore related searches

Professors in Italy Professors in Cybersecurity Cybersecurity professors in Italy

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Annamaria Ficara is an Assistant Professor at the University of Messina, Italy. Her research focuses on the analysis of criminal networks, adaptive evolutionary computing for sentiment analysis, and the application of social network analysis techniques. Recent publications include studies on the disruption of mafia networks and the development of scenarios for urban mobility using open data.

Articles (11)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (5)

Giacomo Fiumara

University of Messina

ITALY

View details

Pasquale De Meo

University of Messina

ITALY

View details

Antonio Liotta

Full Professor (Data Science; Machine Learning; Intelligent Systems)

Free University of Bozen-Bolzano

ITALY

View details

Lucia Cavallaro

Assistant Professor

Radboud University

NETHERLANDS

View details

Francesco Calderoni

Full Professor of Criminology

Università Cattolica del Sacro Cuore

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Annamaria Ficara

Research Interests

Explore related searches

Contact this professor

About

Articles (11)

Design and Analysis of a MATSim Scenario From Open Data: The Messina City Use Case

Design and Analysis of a MATSim Scenario From Open Data: The Messina City Use Case

Adaptive Evolutionary Computing Ensemble Learning Model for Sentiment Analysis

Human and Social Capital Strategies for Mafia Network Disruption

Covert Network Construction, Disruption, and Resilience: A Survey

The Whole Is Greater than the Sum of the Parts: A Multilayer Approach on Criminal Networks

Dynamic Community Discovery Method Based on Phylogenetic Planted Partition in Temporal Networks

Criminal networks analysis in missing data scenarios through graph distances

Social network analysis: the use of graph distances to compare artificial and criminal networks

Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia

Robust Link Prediction in Criminal Networks: a case study of the Sicilian Mafia

Collaborators (5)

Giacomo Fiumara

Pasquale De Meo

Antonio Liotta

Lucia Cavallaro

Francesco Calderoni

Make your next move.