83 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- African Institute for Mathematical SciencesZA5 papers
- Toronto Metropolitan UniversityCA5 papers
- University of OttawaCA4 papers
- University of WarsawPL4 papers
- Bialystok University of TechnologyPL2 papers
- Prince Mohammad bin Fahd UniversitySA2 papers
- University of AveiroPT2 papers
- University of LimpopoZA2 papers
- Akdeniz University HospitalTR1 paper
- Binghamton UniversityUS1 paper
- Broad InstituteUS1 paper
- Central European UniversityAT1 paper
5 papers · 1 filter
Toward Agentic Environments: GenAI and the Convergence of AI, Sustainability, and Human-Centric Spaces
Przemek Pospieszny, Dominika P. Brodowicz
In recent years, advances in artificial intelligence (AI), particularly generative AI (GenAI) and large language models (LLMs), have made human-computer interactions more frequent,…
HIF: The hypergraph interchange format for higher-order networks
Martín Coll, Cliff A. Joslyn, Nicholas W. Landry +5
Many empirical systems contain complex interactions of arbitrary size, representing, for example, chemical reactions, social groups, co-authorship relationships, and ecological dep…
Applying Large-Scale Distributed Computing to Structural Bioinformatics -- Bridging Legacy HPC Clusters With Big Data Technologies Using kafka-slurm-agent
Pawel Rubach
This paper presents the Kafka Slurm Agent (KSA), an open source (Apache 2.0 license) distributed computing and stream processing engine designed to help researchers distribute Pyth…
Innovative activities of Activision Blizzard: A patent network analysis
Artur F. Tomeczek
Microsoft's acquisition of Activision Blizzard valued at $68.7 billion has drastically altered the landscape of the video game industry. At the time of the takeover, the intellectu…
Improving community detection via community association strength scores
Jordan Barrett, Ryan DeWolfe, Bogumił Kamiński +3
Community detection methods play a central role in understanding complex networks by revealing highly connected subsets of entities. However, most community detection algorithms ge…