Anna Sapienza

Orcid: 0000-0002-0842-7987

According to our database1, Anna Sapienza authored at least 17 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Who makes open source code? The hybridisation of commercial and open source practices.
EPJ Data Sci., December, 2024

A view from data science.
Big Data Soc., July, 2021

The Influence of Social Ties on Performance in Team-Based Online Games.
IEEE Trans. Games, 2021

Does Streaming Esports Affect Players' Behavior and Performance?
Games Cult., 2020

Discovering patterns of online popularity from time series.
Expert Syst. Appl., 2020

Deep Neural Networks for Optimal Team Composition.
Frontiers Big Data, 2019

Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem.
Proceedings of the Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 2019

Personality and Behavior in Role-based Online Games.
Proceedings of the IEEE Conference on Games, 2019

The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Non-Negative Tensor Factorization for Human Behavioral Pattern Mining in Online Games.
Inf., 2018

DISCOVER: Mining Online Chatter for Emerging Cyber Threats.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Recommending Teammates with Deep Neural Networks.
Proceedings of the 29th on Hypertext and Social Media, 2018

An Innovative Cloud-Based System for the Diachronic Analysis in Numismatics.
ACM Journal on Computing and Cultural Heritage, 2017

Performance Dynamics and Success in Online Games.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Early Warnings of Cyber Threats in Online Discussions.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach.
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015