Gianmarco De Francisci Morales

Orcid: 0000-0002-2415-494X

Affiliations:
  • CENTAI, Italy


According to our database1, Gianmarco De Francisci Morales authored at least 98 papers between 2008 and 2024.

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Bibliography

2024
Alice and the Caterpillar: A more descriptive null model for assessing data mining results.
Knowl. Inf. Syst., March, 2024

A Higher-Order Lens for Social Systems.
CoRR, 2024

What we can learn from TikTok through its Research API.
CoRR, 2024

Navigating Multidimensional Ideologies with Reddit's Political Compass: Economic Conflict and Social Affinity.
CoRR, 2024

Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics Models.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling.
ACM Trans. Intell. Syst. Technol., 2023

Extracting the Multiscale Causal Backbone of Brain Dynamics.
CoRR, 2023

Measuring Behavior Change with Observational Studies: a Review.
CoRR, 2023

Auditing Targeted Political Advertising on Social Media During the 2021 German Election.
CoRR, 2023

Narratives of War: Ukrainian Memetic Warfare on Twitter.
CoRR, 2023

An impossibility result for Markov Chain Monte Carlo sampling from micro-canonical bipartite graph ensembles.
CoRR, 2023

Hyper-distance Oracles in Hypergraphs.
CoRR, 2023

Evidence of Demographic rather than Ideological Segregation in News Discussion on Reddit.
Proceedings of the ACM Web Conference 2023, 2023

The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections.
Proceedings of the ACM Web Conference 2023, 2023

On the Relation between Opinion Change and Information Consumption on Reddit.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Authority without Care: Moral Values behind the Mask Mandate Response.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

The Pursuit of Peer Support for Opioid Use Recovery on Reddit.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2022
Modeling Political Activism around Gun Debate via Social Media.
ACM Trans. Soc. Comput., 2022

The language of opinion change on social media under the lens of communicative action.
CoRR, 2022

Multiscale Non-stationary Causal Structure Learning from Time Series Data.
CoRR, 2022

On learning agent-based models from data.
CoRR, 2022

FreSCo: Mining Frequent Patterns in Simplicial Complexes.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Social Norms on Reddit: A Demographic Analysis✱.
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Communities, Gateways, and Bridges: Measuring Attention Flow in the Reddit Political Sphere.
Proceedings of the Social Informatics - 13th International Conference, 2022

2021
TipTap: Approximate Mining of Frequent <i>k</i>-Subgraph Patterns in Evolving Graphs.
ACM Trans. Knowl. Discov. Data, 2021

The echo chamber effect on social media.
Proc. Natl. Acad. Sci. USA, 2021

Detecting adherence to the recommended childhood vaccination schedule from user-generated content in a US parenting forum.
PLoS Comput. Biol., 2021

On the interplay between educational attainment and nutrition: a spatially-aware perspective.
EPJ Data Sci., 2021

From Reddit to Wall Street: The role of committed minorities in financial collective action.
CoRR, 2021

No Echo in the Chambers of Political Interactions on Reddit.
CoRR, 2021

STruD: Truss Decomposition of Simplicial Complexes.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

The evolving causal structure of equity risk factors.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Clandestino or Rifugiato? Anti-immigration Facebook Ad Targeting in Italy.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Scalable Dynamic Graph Summarization.
IEEE Trans. Knowl. Data Eng., 2020

Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit.
CoRR, 2020

Echo Chambers on Social Media: A comparative analysis.
CoRR, 2020

Aion: Better Late than Never in Event-Time Streams.
CoRR, 2020

Roots of Trumpism: Homophily and Social Feedbackin Donald Trump Support on Reddit.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Facebook Ads: Politics of Migration in Italy.
Proceedings of the Social Informatics - 12th International Conference, 2020

Learning Opinion Dynamics From Social Traces.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Falling into the Echo Chamber: The Italian Vaccination Debate on Twitter.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

2019
Quantifying Uncertainty in Online Regression Forests.
J. Mach. Learn. Res., 2019

Link Prediction via Higher-Order Motif Features.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Predicting the Role of Political Trolls in Social Media.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018
Quantifying Controversy on Social Media.
ACM Trans. Soc. Comput., 2018

Large-Scale Learning from Data Streams with Apache SAMOA.
CoRR, 2018

Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Road Network Fusion for Incremental Map Updates.
Proceedings of the Progress in Location Based Services 2018, 2018

Mining Frequent Patterns in Evolving Graphs.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Incentivizing social media users for mobile crowdsourcing.
Int. J. Hum. Comput. Stud., 2017

Exposing Twitter Users to Contrarian News.
CoRR, 2017

Mary, Mary, Quite Contrary: Exposing Twitter Users to Contrarian News.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Reducing Controversy by Connecting Opposing Views.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Factors in Recommending Contrarian Content on Social Media.
Proceedings of the 2017 ACM on Web Science Conference, 2017

The Effect of Collective Attention on Controversial Debates on Social Media.
Proceedings of the 2017 ACM on Web Science Conference, 2017

Graph Data Mining with Arabesque.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

The Ebb and Flow of Controversial Debates on Social Media.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

QFrag: distributed graph search via subgraph isomorphism.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

BoostVHT: Boosting Distributed Streaming Decision Trees.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Fully Dynamic Algorithm for Top-<i>k</i> Densest Subgraphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Finding topical experts in Twitter via query-dependent personalized PageRank.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
Streaming Similarity Self-Join.
Proc. VLDB Endow., 2016

Top-k densest subgraphs in sliding-window graph streams.
CoRR, 2016

Balancing Opposing Views to Reduce Controversy.
CoRR, 2016

Analyzing Big Data Streams with Apache SAMOA.
Proceedings of the Behavioral Analytics in Social and Ubiquitous Environments, 2016

Centrality Measures on Big Graphs: Exact, Approximated, and Distributed Algorithms.
Proceedings of the 25th International Conference on World Wide Web, 2016

IoT Big Data Stream Mining.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

When two choices are not enough: Balancing at scale in Distributed Stream Processing.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Exploring Controversy in Twitter.
Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

Extracting Skill Endorsements from Personal Communication Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

VHT: Vertical hoeffding tree.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Scalable Online Betweenness Centrality in Evolving Graphs.
IEEE Trans. Knowl. Data Eng., 2015

SAMOA: scalable advanced massive online analysis.
J. Mach. Learn. Res., 2015

IntoNews: Online news retrieval using closed captions.
Inf. Process. Manag., 2015

Partial Key Grouping: Load-Balanced Partitioning of Distributed Streams.
CoRR, 2015

Efficient Online Evaluation of Big Data Stream Classifiers.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

The power of both choices: Practical load balancing for distributed stream processing engines.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Scalable Facility Location for Massive Graphs on Pregel-like Systems.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Big Data Stream Learning with SAMOA.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Automatic discovery of global and local equivalence relationships in labeled geo-spatial data.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Random Forests of Very Fast Decision Trees on GPU for Mining Evolving Big Data Streams.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Distributed Adaptive Model Rules for mining big data streams.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Activity preserving graph simplification.
Data Min. Knowl. Discov., 2013

Automatic Analysis of Television News: Media, People, Framing and Bias.
CoRR, 2013

SAMOA: a platform for mining big data streams.
Proceedings of the 22nd International World Wide Web Conference, 2013

Towards leveraging closed captions for news retrieval.
Proceedings of the 22nd International World Wide Web Conference, 2013

From machu_picchu to "rafting the urubamba river": anticipating information needs via the entity-query graph.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Online matching of web content to closed captions in IntoNow.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Learning to question: leveraging user preferences for shopping advice.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Says who?: automatic text-based content analysis of television news.
Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing, 2013

2012
From chatter to headlines: harnessing the real-time web for personalized news recommendation.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

2011
Social Content Matching in MapReduce.
Proc. VLDB Endow., 2011

2010
The Sicilian Grid Infrastructure for High Performance Computing.
Int. J. Distributed Syst. Technol., 2010

Scaling Out All Pairs Similarity Search with MapReduce.
Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, 2010

Document Similarity Self-Join with MapReduce.
Proceedings of the ICDM 2010, 2010

2009
An Effective Methodology to Multi-objective Design of Application Domain-specific Embedded Architectures.
Proceedings of the 12th Euromicro Conference on Digital System Design, 2009

2008
High Performance Computing for Embedded System Design: A Case Study.
Proceedings of the 11th Euromicro Conference on Digital System Design: Architectures, 2008


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