[Bigbang-dev] Testing inductively derived working group/org categories

[Niels ten Oever]

Hi Sebastian,

On 03-03-2021 12:56, Sebastian Benthall wrote:
> I understand that there is a mix of working groups and affiliations here.
> 
> These groupings were created by:
>  - building the network of affiliations and working groups
>  - using a generic network modularity algorithm to partition the network
>  - pick the top N members of each partition based on centrality
> 
> So what I was hoping was that the groupings would have some meaning in terms of which affiliations and organizations were most closely associated.
> 
> If the method worked, it would uncover latent structure. For example, Microsoft and IBM are connected with each other through ipsecme. Whereas Nokia and Ericsson are associated though their connections to ops.
> 

Now I understand the output much better - this makes a lot of sense. This actually contributes the answering the research question about the priorities of companies in standards bodies. So are the groupings per line? Is there a way in which we can more meaningfully present this data? Happy to discuss and thanks for this work!

Best,

Niels

> If nothing is popping out when the data is modelled like this, then I'll try something else. This was a cheap exploratory method.
> 
> On Wed, Mar 3, 2021, 5:26 AM Niels ten Oever <mail at nielstenoever.net <mailto:mail at nielstenoever.net>> wrote:
> 
>     Hi Seb,
> 
>     This is meaningful. It is a mix of affiliations/institutions and working groups and areas (the parts of the IETF working groups belong to). Would you like me to categorize which are which? One way to clean this up would be to take a list of all workinggroups (same names as mailinglists!) and subtract that from this corpus.
> 
>     Happy to discuss!
> 
>     Best,
> 
>     Niels
> 
>     On 02-03-2021 22:49, Sebastian Benthall wrote:
>     > Hello,
>     >
>     > As an experiment, I've tried to derive some inductive categories of working groups and organizations from the IETF data. If this works, it exposes some latent structure in how IETF is organized, in terms of the weight of certain organizations certain domains.
>     >
>     > The following groups of words represent concentrations or clusterings in the network of associations between organizations and working groups. I wonder if somebody more involved in the domain work could tell me if they seem meaningful at all, or just noisy.
>     >
>     > Huawei, mpls, ccamp, idr, AT&T, Orange, 6man, ospf, Juniper Networks, grow
>     >     
>     > Google, dnsop, art, tls, ntp, VeriSign, Inc., lamps, oauth, dprive, kitten
>     >     
>     > Nokia, Ericsson, ops, tsv, roll, core, geopriv, ace, 6lo, mboned
>     >     
>     > app, Oracle, Sun Microsystems, Apple Inc., Isode Ltd, fax, homenet, sieve, dkim, extra
>     >     
>     > Cisco Systems, Alcatel-Lucent, cfrg, pwe3, snmpv3, sacm, ipfix, alto, uta, radius
>     >     
>     > sec, pkix, smime, rai, RSA Laboratories, httpbis, VPN Consortium, ipsec, appsawg, Axway
>     >     
>     > avt, mmusic, avtcore, payload, sipping, idmr, simple, stir, RTFM, Inc., NTT
>     >     
>     > icnrg, nwcrg, mptcp, lisp, 6tisch, University of Cambridge, manet, INRIA, gaia, nsis
>     >     
>     > v6ops, int, Intel, sidr, mip6, sidrops, Unaffiliated, Toshiba, impp, teep
>     >     
>     > tsvwg, tcpm, nfsv4, diffserv, University of Aberdeen, aqm, ipdvb, csi, rddp, rserpool
>     >     
>     > iab, trill, secsh, rtg, forces, dtnrg, Harvard University, isms, SPARTA, Inc., Trinity College Dublin
>     >     
>     > Independent, ecrit, ipp, Nortel Networks, magma, tictoc, entmib, mediactrl, Avaya, Hewlett-Packard
>     >     
>     > Microsoft, ipsecme, IBM, dnsext, intarea, hip, Dell EMC, storm, USC/ISI, btns
>     >     
>     > gen, sipcore, sip, Neustar, straw, Tekelec, SJD, Georgetown University, Massachusetts Institute of Technology, Quobis
>     >     
>     > http, University of Tennessee, Netscape, 822ext, find, Xerox Corporation, Equinix, CERNET Center/Tsinghua, behave, asid
>     >
>     >
>     >
>     > - Seb
>     >
>     >
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> 
>     -- 
>     Niels ten Oever, PhD
>     Postdoctoral Researcher - Media Studies Department - University of Amsterdam
>     Research Fellow - Centre for Internet and Human Rights - European University Viadrina
>     Associated Scholar - Centro de Tecnologia e Sociedade - Fundação Getúlio Vargas
> 
>     https://nielstenoever.net <https://nielstenoever.net> - mail at nielstenoever.net <mailto:mail at nielstenoever.net> - @nielstenoever - +31629051853
>     PGP: 2458 0B70 5C4A FD8A 9488 643A 0ED8 3F3A 468A C8B3
> 
>     Read my latest article on Internet infrastructure governance in New Media & Society here: https://journals.sagepub.com/doi/full/10.1177/1461444820929320 <https://journals.sagepub.com/doi/full/10.1177/1461444820929320>
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-- 
Niels ten Oever, PhD
Postdoctoral Researcher - Media Studies Department - University of Amsterdam
Research Fellow - Centre for Internet and Human Rights - European University Viadrina
Associated Scholar - Centro de Tecnologia e Sociedade - Fundação Getúlio Vargas

https://nielstenoever.net - mail at nielstenoever.net - @nielstenoever - +31629051853
PGP: 2458 0B70 5C4A FD8A 9488 643A 0ED8 3F3A 468A C8B3

Read my latest article on Internet infrastructure governance in New Media & Society here: https://journals.sagepub.com/doi/full/10.1177/1461444820929320