Network science

The research platform of complex networks and systems including scale-free power-law networks, biological and social network analysis, and sparsely and densely connected networks.

OVERVIEW

This web page network-science.org currently has an average traffic classification of zero (the lower the higher page views). We have evaluated three pages inside the site network-science.org and found ten websites associating themselves with network-science.org. There are two contacts and directions for network-science.org to help you contact them. This web page network-science.org has been on the internet for eight hundred and seventy-five weeks, eleven days, eight hours, and thirty-four minutes.
Pages Analyzed
3
Links to this site
10
Contacts
2
Locations
2
Online Since
Mar 2008

NETWORK-SCIENCE.ORG RANKINGS

This web page network-science.org has seen alternating quantities of traffic all round the year.
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NETWORK-SCIENCE.ORG HISTORY

This web page network-science.org was registered on March 05, 2008. As of today, it is eight hundred and seventy-five weeks, eleven days, eight hours, and thirty-four minutes young.
REGISTERED
March
2008

PERIOD OF EXISTANCE

16
YEARS
9
MONTHS
10
DAYS

LINKS TO BUSINESS

A Science of Cities

The West London CA Model. What Is Social Physics? July 26, 2011. Several previous posts suggest that our Science of Cities is more like Biology than Physics but Social Physics has a long history. In the 1940s to Iberall. Network Science, A Guide.

Matthias Scholz - Research

FEM - Fondazione Edmund Mach. Nutrigenomics, Gut Microbiome and Human Health. University of Trento, Italy. IASMA Research and Innovation Centre.

NLPCA - nonlinear PCA - auto-associative neural networks - autoencoder bottleneck neural networks - Matthias Scholz

Thus, the subspace in the original data space which is described by all nonlinear components is also curved.

Ph.D. thesis - Matthias Scholz - Max Planck Institute of Molecular Plant Physiology

Max Planck Institute of Molecular Plant Physiology. Approaches to analyse and interpret biological profile data. University of Potsdam, Germany. Advances in biotechnologies rapidly increase the number of molecules of a cell which can be observed simultaneously. This includes expression levels of thousands or ten-thousands of genes as well as concentration levels of metabolites or proteins. The full text PDF version.

WHAT DOES NETWORK-SCIENCE.ORG LOOK LIKE?

Desktop Screenshot of network-science.org Mobile Screenshot of network-science.org Tablet Screenshot of network-science.org

CONTACTS

Matthias Scholz

Walther-Rathenau-Str. 23

Greifswald, Germany, 17489

DE

Cronon AG Professional IT-Services

Hostmaster Strato Rechenzentrum

Emmy-Noether-Str. 10

Karlsruhe, Germany, 76131

DE

NETWORK-SCIENCE.ORG HOST

I discovered that a single root page on network-science.org took six hundred and seventy-two milliseconds to load. I could not find a SSL certificate, so I consider this site not secure.
Load time
0.672 seconds
SSL
NOT SECURE
Internet Address
81.169.145.156

NAME SERVERS

shades07.rzone.de
docks11.rzone.de

BOOKMARK ICON

SERVER OPERATING SYSTEM AND ENCODING

I caught that this website is utilizing the Apache/2.4.33 (Unix) os.

TITLE

Network science

DESCRIPTION

The research platform of complex networks and systems including scale-free power-law networks, biological and social network analysis, and sparsely and densely connected networks.

CONTENT

This web page network-science.org states the following, "The research of complex networks and systems." Our analyzers viewed that the website also stated " The analysis of networks has received a major boost caused by the widespread availability of huge network data resources in the last years." The Website also said " One of the most surprising findings, popularized by Albert-László Barabási and his team, is that real networks behave very distinct from traditional assumptions of network theory. 2003 58 pages, by Mark Newman. Complex networks Structure and dynamics. 134 pages, 2006, by Boccaletti, Latora, Moreno, Chavez, and Hwang." The website's header had complex networks as the most important search term. It is followed by complex systems, scale free networks, and barabasi which isn't as highly ranked as complex networks. The next words they used was social networks. small world was included but might not be understood by web crawlers.

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