Detecting memory and structure in human navigation patterns using Markov chain models of varying order

One of the most frequently used models for understanding human navigation on the Web is the Markov chain model, where Web pages are represented as states and hyperlinks as probabilities of navigating from one page to another. Predominantly, human navigation on the Web has been thought to satisfy the...

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Veröffentlicht in:	PloS one 2014-07, Vol.9 (7), p.e102070-e102070
Hauptverfasser:	Singer, Philipp, Helic, Denis, Taraghi, Behnam, Strohmaier, Markus
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Bayesian analysis Complexity Computer and Information Sciences Datasets Free form Humans International conferences Markov analysis Markov Chains Markov processes Mathematical models Memory - physiology Models, Theoretical Navigation behavior Physical Sciences Search engines Singers Social sciences Sociology Technology application World Wide Web
Online-Zugang:	Volltext
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