Tags: network theory

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  1. BioGrapher

    14 Aug 2024 | Teaching Materials | Contributor(s):

    By Rama Viswanathan1, Han Lai1, Hlaing Lin1, Khalid Qumsieh1, John Jungck1

    Beloit College

    BioGrapher is an Excel front-end for the AT&T GraphViz graphical visualization and layout package (http://www.graphviz.org/).

    https://qubeshub.org/publications/4933/?v=1

  2. Nazia Riasat

    I am Nazia, a fifth-year Ph.D. student in Statistics at NDSU. Currently, I am working as a Graduate Research Assistant in the Biostatistics and Bioinformatics Core Faculty at the Center for...

    https://qubeshub.org/community/members/47059

  3. Mauricio Cruz Loya

    https://qubeshub.org/community/members/15687

  4. Xinnian Chen

    https://qubeshub.org/community/members/11344

  5. The friendship paradox

    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...

  6. Exploring random regular graphs with IONTW

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

    In this module we introduce and explore the structure of random regular graphs. Moreover, we compare the predictions of SIR-models on random regular contact networks with the predictions of corresponding models on Erdős-Rényi networks.Level: Undergraduate students of biology or...

  7. Exploring Erdős-Rényi random graphs with IONTW

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

    In this module we explore in detail the distribution of the sizes of connected components of Erdős-Rényi random graphs and discover the reasons for the similarities and differences between disease transmission on Erdős-Rényi networks and complete graphs that were observed in...

  8. A quick tour of IONTW

    30 Jan 2015 | | Contributor(s):: Winfried Just, Ying Xin

    In this module we guide you through some of the capabilities of IONTW. Highlights include the types of networks supported, setting up various types of models of disease transmission, observing the resulting dynamics, and collecting statistics on the outcomes. Along the way, the module also...