[Internalcommsmodeling] Welcome to the Internal Communications Modeling mailing list

[Lauren Hansen]

Hi Chris! Thanks for setting this up and doing such a great job explaining the graph theory that you and Rebecca have been discussing. I would see more about how we can apply this to our internal communications program going forward, essentially creating champions within departments to get the word out for us in a beehive effect- which would be amazing!

Lauren

Lauren Hansen
Chief Communications Officer
Thomas Jefferson National Accelerator Facility
Jefferson Science Associates, LLC
757-269-7689 | lhansen at jlab.org<mailto:lhansen at jlab.org>

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From: Internalcommsmodeling <internalcommsmodeling-bounces at jlab.org> on behalf of Christopher Williamson <cew at jlab.org>
Date: Friday, March 27, 2020 at 1:43 PM
To: "internalcommsmodeling at jlab.org" <internalcommsmodeling at jlab.org>
Subject: [Internalcommsmodeling] Welcome to the Internal Communications Modeling mailing list

Greetings all,

Rebecca hosted a focus group; I attended and shared an idea about how network science could be used to improve internal communications.



The national academies press says,

 the common core of network science is the study of complex systems whose behavior and responses are determined by exchanges and interactions between subsystems across a well-defined (possibly dynamic) set of pathways. The central point is that the behavior of a network is determined both by the pathways (structure) and by the exchanges and interactions (dynamics)



In a blog from Cornell University about “Graph theory and its application to Scientific Communication” it was noted,

These networks can be modeled as massive  graphs…though simple and lacking in certain information, these graphs can provide a succinct way to assess the level of collaboration a scientific social network facilitates…these networks allow for much faster and more efficient communication between scientists than ever before. In fields where collaboration is vital to the advancement of research (so almost every field), such networks may become necessary.



Since the focus group there have been some “watercooler talks” and one meeting about this. Currently our communication could be modelled as something like the following:

[cid:image002.jpg at 01D60453.E81EFD30]



Lauren and Rebecca have asked me to create a mailing list, to improve our communication around this topic. I hope that by creating this list, in a short time our graph will look something like this:

[cid:image003.jpg at 01D60453.E81EFD30]







It’s worth pointing out that as far as network science goes, the spatial arrangement of the nodes and edges in a graph are irrelevant. I just thought it appropriate to put Rebecca at the top, as she is the one spearheading internal communications.

So, Rebecca, et al.  What’s next?


https://blogs.cornell.edu/info2040/2014/09/19/graph-theory-and-applications-to-scientific-communication/
https://www.nap.edu/read/11516/chapter/7



-------------------------------

Chris

Jefferson Lab

Cyber Security Analyst


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