Resources (1-9 of 9)

1. Exploring generic scale-free networks

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   02 Jun 2015 | | Contributor(s):: Winfried Just, Hannah Lea Callender, Drew LaMar

   This module is a companion module to Module [[Resource(384)]]. Here we study in more detail networks that are generic for a given network size and a given exponent of a power-law degree distribution. We explore predicted structural properties of such networks both mathematically and with...

2. Clustering coefficients

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   02 Jun 2015 | | Contributor(s):: Winfried Just, Hannah Lea Callender, Drew LaMar

   In this module we introduce several definitions of so-called clustering coefficients. A motivating example shows how these characteristics of the contact network may influence the spread of an infectious disease. In later sections we explore, both with the help of IONTW and theoretically,...

3. Small-world models

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   02 Jun 2015 | | Contributor(s):: Winfried Just, Hannah Lea Callender

   Small-world networks are classes of networks that have both the small-world property and exhibit strong clustering. Two constructions of such networks are implemented in IONTW. Here we study, both theoretically and with simulation experiments, the structure of these networks and how it influences...

4. The preferential attachment model

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   10 May 2015 | | Contributor(s):: Winfried Just, Hannah Lea Callender, Drew LaMar, Ying Xin

   Many empirically studied networks have approximately so-called power-law or scale-free degree distributions. In Section 1 we formally define such distributions and explore some of their properties. We also introduce and briefly compare two methods for constructing random...

5. Exploring distances with IONTW

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   10 May 2015 | | Contributor(s):: Winfried Just, Hannah Lea Callender, Drew LaMar

   Section 1 is purely conceptual and invites readers to critically evaluate popular claims based on Stanley Milgram's famous experiment that gave birth to the phrases small-world property and six degrees of separation. In Section 2 we use IONTW to explore distances between nodes in several...

6. The friendship paradox

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   10 May 2015 | | Contributor(s):: Winfried Just, Hannah Lea Callender, Drew LaMar

   In this module we introduce the so-called friendship paradox and illustrate how it affects disease transmission on networks that exhibit this phenomenon.You also need to download the input file degreesFP.txt that will be used in this module.Level: Advanced undergraduate and graduate...

7. Exploring Disease Transmission on Networks with NetLogo

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   10 May 2015 | | Contributor(s):: Winfried Just, Ying Xin

8. Modeling Infectious Disease through Contact Networks

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   25 Mar 2015 | | Contributor(s):: Todd Graham, Claire Seibold, Rebecca Driessen, Hannah Lea Callender

   This poster was presented at the University of Portland's Summer Research Symposium on November 9, 2014, in Portland, Oregon. The poster is aimed at readers with little or no background in modeling infectious diseases. The contents provide a brief overview of modeling infectious diseases on...

9. IONTW

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   28 Jan 2015 | | Contributor(s):: Drew LaMar

   Simulates both discrete and continuous time agent-based models of infectious disease dynamics on networks.