title: Truncation of power law behavior in "scale-free" network models due to information filtering.
abstract: We formulate a general model for the growth of scale-free networks under filtering information conditions-that is, when the nodes can process information about only a subset of the existing nodes in the network. We find that the distribution of the number of incoming links to a node follows a universal scaling form, i.e., that it decays as a power law with an exponential truncation controlled not only by the system size but also by a feature not previously considered, the subset of the network "accessible" to the node. We test our model with empirical data for the World Wide Web and find agreement.
authors.affiliation: Center for Polymer Studies and Department of Physics, Boston University, Boston, Massachusetts 02215, USA.
authors.forename: Stefano
authors.initials: S
authors.lastname: Mossa
authors.forename: Marc
authors.initials: M
authors.lastname: Barthélémy
authors.forename: H
authors.initials: H
authors.lastname: Eugene Stanley
authors.forename: Luís A
authors.initials: LA
authors.lastname: Nunes Amaral
mesh_terms: D001330:Electronic Data Processing / Q000379:methods*; D020407:Internet; D008962:Models, Theoretical