Toggle Main Menu Toggle Search

Open Access padlockePrints

Fast generation of scale free networks with directed arcs

Lookup NU author(s): Huqui Zhang, Professor Aad van Moorsel

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

To evaluate peer-to-peer systems through discrete-event simulation, one needs to be able to generate sufficiently large networks of nodes that exhibit the desired properties, such as the scale-free nature of the connectivity graph. In applications such as the web of trust or analysis of hyperlink structures, the direction of the arcs between two nodes is relevant and one therefore generates directed graphs. In this paper we introduce a model to generate directed scale free graphs without multiple arcs between the same pair of nodes and loops. This model is based on existing models that allows multiple arcs and loops, but considerably more challenging to implement in an efficient manner. We therefore design and implement a set of algorithms and compare them with respect to CPU and memory use, in terms of both theoretical complexity analysis and experimental results. We will show through experiments that with the fastest algorithms networks with a million or more nodes can be generated in mere seconds. © 2009 Springer-Verlag Berlin Heidelberg.


Publication metadata

Author(s): Zhang H, Van Moorsel A

Editor(s): Bradley, J.T.

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Computer Performance Engineering: 6th European Performance Engineering Workshop

Year of Conference: 2009

Pages: 131-148

ISSN: 0302-9743 (Print) 1611-3349 (Online)

Publisher: Springer

URL: http://dx.doi.org/10.1007/978-3-642-02924-0_11

DOI: 10.1007/978-3-642-02924-0_11

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 364202923X


Actions

Find at Newcastle University icon    Link to this publication


Share