DataVXApplied SciencesPaper
journal article·2019-10-23Open access

Complex Networks and Machine Learning: From Molecular to Social Sciences

David Quesada, Maykel Cruz-Monteagudo, Terace Fletcher, Aliuska Duardo-Sanchez, Humbert González-Díaz

Applied Sciences· Volume 9· Issue 21
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Source abstract

Abstract

Combining complex networks analysis methods with machine learning (ML) algorithms have become a very useful strategy for the study of complex systems in applied sciences. Noteworthy, the structure and function of such systems can be studied and represented through the above-mentioned approaches, which range from small chemical compounds, proteins, metabolic pathways, and other molecular systems, to neuronal synapsis in the brain’s cortex, ecosystems, the internet, markets, social networks, program’s development in education, social learning, etc. On the other hand, ML algorithms are useful to study large datasets with characteristic features of complex systems. In this context, we decided to launch one special issue focused on the benefits of using ML and complex network analysis (in combination or separately) to study complex systems in applied sciences. The topic of the issue is: Complex Networks and Machine Learning in Applied Sciences. Contributions to this special issue are highlighted below. The present issue is also linked to conference series, MOL2NET International Conference on Multidisciplinary Sciences, ISSN: 2624-5078, MDPI AG, SciForum, Basel, Switzerland. At the same time, the special issue and the conference are hosts for the works published by students/tutors of the USEDAT: USA–Europe Data Analysis Training Worldwide Program.
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Research context

OpenAlex topics: Complex Network Analysis Techniques · Bioinformatics and Genomic Networks · Functional Brain Connectivity Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mathematics, Wolfson Campus, Miami Dade College (MDC), Miami, FL 33132, USA

School of Science, Technology, and Engineering Management, St. Thomas University (STU), Miami, FL 33054, USA

Department of Science, Department of General Education, West Coast University, Miami Campus, Miami, FL 33136, USA

Center for Computer Science (CCS), University of Miami, Miami, FL 33136, USA

Department of Chemistry and Biochemistry, University of Porto, 4099-002 Porto, Portugal

University of The Basque Country UPV/EHU, Great Bilbao, Biscay, Basque Country, 48940 Leioa, Spain

Department of Organic Chemistry II, University of the Basque Country (UPV/EHU), 48940 Leioa, Great Bilbao, Biscay, Basque Country, Spain

IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Biscay, Basque Country, Spain

Funding

European Commission

References (13)

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