scholarly journals Introduction to the special issue on COMPLEX NETWORKS 2019

2021 ◽  
pp. 1-3
Author(s):  
Hocine Cherifi ◽  
Luis M. Rocha
Keyword(s):  
Complex Networks ◽  
Special Issue

scholarly journals Introduction to the special issue “Economics and Complex Networks”

2020 ◽  
Vol 72 (1) ◽  
pp. 1-4
Author(s):  
Teruyoshi Kobayashi ◽  
Naoki Masuda
Keyword(s):  
Complex Networks ◽  
Special Issue

scholarly journals Special Issue “Modeling of Supply Chain Systems”

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 494
Author(s):  
Zina Ben Miled
Keyword(s):  
Supply Chain ◽  
Complex Networks ◽  
Service Providers ◽  
Special Issue

Supply chain systems are complex networks of producers, service providers and consumers [...]

scholarly journals Special Issue of Journal of Statistical Physics Devoted to Complex Networks

2018 ◽  
Vol 173 (3-4) ◽  
pp. 439-447
Author(s):  
Diego Garlaschelli ◽  
Remco van der Hofstad ◽  
Frank den Hollander ◽  
Michel Mandjes
Keyword(s):  
Complex Networks ◽  
Statistical Physics ◽  
Special Issue

scholarly journals Complex Networks and Machine Learning: From Molecular to Social Sciences

2019 ◽  
Vol 9 (21) ◽  
pp. 4493 ◽  
Author(s):  
David Quesada ◽  
Maykel Cruz-Monteagudo ◽  
Terace Fletcher ◽  
Aliuska Duardo-Sanchez ◽  
Humbert González-Díaz
Keyword(s):  
Applied Sciences ◽  
Machine Learning ◽  
Complex Systems ◽  
Complex Networks ◽  
Special Issue ◽  
Molecular Systems ◽  
Networks Analysis ◽  
Characteristic Features ◽  
And Function ◽  
Small Chemical

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.

scholarly journals Introduction to the special issue on COMPLEX NETWORKS 2018

2020 ◽  
Vol 8 (S1) ◽  
pp. S1-S3
Author(s):  
Hocine Cherifi ◽  
Luis M. Rocha ◽  
Stanley Wasserman
Keyword(s):  
Complex Networks ◽  
Special Issue

scholarly journals Computation in Complex Networks

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 192
Author(s):  
Clara Pizzuti ◽  
Annalisa Socievole
Keyword(s):  
Complex Networks ◽  
Complex Network ◽  
Special Issue ◽  
Network Research

The Special Issue on “Computation in Complex Networks” focused on gathering highly original papers in the field of current complex network research [...]

scholarly journals Social Structures, Social Relationships, and Family Firms

2018 ◽  
Vol 43 (2) ◽  
pp. 207-223 ◽  
Author(s):  
Thomas M. Zellweger ◽  
James J. Chrisman ◽  
Jess H. Chua ◽  
Lloyd P. Steier
Keyword(s):  
Complex Networks ◽  
Social Organization ◽  
Social Relationships ◽  
Family Firms ◽  
Social Structures ◽  
Common Theme ◽  
Special Issue ◽  
Research Directions ◽  
Family Enterprise ◽  
And Performance

In this introduction, we observe that the study of social structures and social relationships constitutes a common theme among the articles and commentaries contained within this special issue on Theories of Family Enterprise. Individuals and organizations are embedded in complex networks of social organization and exchange. Within business enterprises, familial relationships engender unique goals, governance structures, resources, and outcomes. We discuss these relationships, potential research directions, and the contributions made by the articles and commentaries. In so doing, we expand the literature on how social structures and social relationships affect the behavior and performance of family firms.

scholarly journals Crucial Development: Criticality Is Important to Cell-to-Cell Communication and Information Transfer in Living Systems

Entropy ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. 1141
Author(s):  
Ione Hunt von Herbing ◽  
Lucio Tonello ◽  
Maurizio Benfatto ◽  
April Pease ◽  
Paolo Grigolini
Keyword(s):  
Complex Networks ◽  
Information Transfer ◽  
Complex Adaptive System ◽  
System Development ◽  
Cell Communication ◽  
Reaction Diffusion ◽  
Special Issue ◽  
Complex Adaptive ◽  
Living Organisms ◽  
Organismal Development

In the fourth paper of this Special Issue, we bridge the theoretical debate on the role of memory and criticality discussed in the three earlier manuscripts, with a review of key concepts in biology and focus on cell-to-cell communication in organismal development. While all living organisms are dynamic complex networks of organization and disorder, most studies in biology have used energy and biochemical exchange to explain cell differentiation without considering the importance of information (entropy) transfer. While all complex networks are mixtures of patterns of complexity (non-crucial and crucial events), it is the crucial events that determine the efficiency of information transfer, especially during key transitions, such as in embryogenesis. With increasing multicellularity, emergent relationships from cell-to-cell communication create reaction–diffusion exchanges of different concentrations of biochemicals or morphogenetic gradients resulting in differential gene expression. We suggest that in conjunction with morphogenetic gradients, there exist gradients of information transfer creating cybernetic loops of stability and disorder, setting the stage for adaptive capability. We specifically reference results from the second paper in this Special Issue, which correlated biophotons with lentil seed germination to show that phase transitions accompany changes in complexity patterns during development. Criticality, therefore, appears to be an important factor in the transmission, transfer and coding of information for complex adaptive system development.

Special Issue Tackles SLI

ASHA Leader ◽  
2014 ◽  
Vol 19 (10) ◽  
pp. 14-14
Keyword(s):  
Special Issue
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