Michele Pasin / Quotes

An introduction to network analysis

Anyone with a lot of time and a vicious interest in networks should stop reading right now, and instead pick up copies of Networks, Crowds, and Markets (Easley & Kleinberg, 2010) and Networks: An Introduction (Newman, 2010). The first is a non-mathy introduction to most of the concepts of network analysis, and the second is a more in depth (and formula-laden) exploration of those concepts. They’re phenomenal, essential, and worth every penny.

Saved 14 November 2014 / www.scottbot.net ↗

#network #concept #time

A thesaurus is a network of related terms

A thesaurus, on the other hand, emphasizes other aspects of an index. It is basically a network of interrelated terms within a particular domain, and although…

The Tao Of Topic Maps #thesaurus #network #terms #things #information

Annotation structures vs exploratory structures

Putting it another way, annotative projects are those in which the text is linked to external information, be it commentary, historical context, biographical…

Callimachus—avoiding The Pitfalls Of Xml For Collaborative Text Analysis #information #network #text #project

Circularity:

This principle we may derive from Maturana's emphasis on structure-determinism, and on the circularity and recursiveness of all organizationally closed…

Life, The Multiverse And Everything: An Introduction To The Ideas Of Humberto Maturana Interpreting Maturana #complexity #network #principles

Law of networks: preferential attachment

Barabási has found that the websites that form the network (of the WWW) have certain mathematical properties. The conditions for these properties to occur are…

Albert-lászló Barabási - Wikipedia #network #properties

Networks and complex systems

The interacting components of a complex system form a network, which is a collection of discrete objects and relationships between them, usually depicted as a…

Complex system - Wikipedia #complexity #network #science

Systems that exhibit complexity

For a system to exhibit complexity means that the systems' behaviors cannot be easily inferred from its properties. Any modeling approach that ignores such…

Complex system - Wikipedia #complexity #network #science