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

Wed Mar 3 13:55:03 CET 2021

Yes, I'm trying to get at the research question you raised at yesterday's
standup.

The groups are per line.

Apologies for the opaque presentation :)
Happy to discuss how to improve things today.

- S

On Wed, Mar 3, 2021 at 7:27 AM Niels ten Oever <mail at nielstenoever.net>
wrote:

> 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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> Bigbang-dev at data-activism.net>
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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
>
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