You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@kibble.apache.org by Sharan Foga <sh...@apache.org> on 2018/12/30 11:24:58 UTC
Re: Kibble used as part of an MBA paper
Hi Georg
Thanks for the interest. I have some minor edits to do so will do those and get it posted later this week. It's 31 pages long so might see if I can do a summary version too.
Thanks
Sharan
On 2018/12/22 18:13:42, Georg Link <gl...@unomaha.edu> wrote:
> Hi Sharan,
>
> Interesting setup. I would like to read the paper :)
>
> Happy Holidays,
> Georg
>
> On Sat, Dec 22, 2018 at 3:59 AM Sharan Foga <sh...@apache.org> wrote:
>
> > Hi All
> >
> > I’m sorry I haven’t been that active on this recently, this has been
> > caused by a few things happening that meant that I needed to focus my time
> > and effort elsewhere.
> >
> > One of the things that my time has been focussed on is on assignment for
> > my MBA where I have used Kibble as my research tool.
> >
> > To give you some background.
> >
> > My paper was focussed on the transmission of culture and values in open
> > source and I wanted to create a baseline to be able to measure cultural
> > indicators. So how can Kibble help? (I hear you ask :-), so let me explain
> > a little.
> >
> > Kibble includes the following:
> >
> > - Pony Factor – which is an indicator of the diversity of key project
> > contributors. So thinking of the Apache culture and its values, we would be
> > looking to see the Pony Factor grow over time as a project community grows
> > and accepts new conributors. There is also a meta Pony Factor which tries
> > to measure the diversity of the companies contributing.
> >
> > - Sentient / Mood Analysis – which indicates the mood of the mailing list
> > communications.
> >
> > - Key Phrase Extraction (KPE) – which pulls out important words or phrases
> > that summarise the main topics or ideas that are being discussed on the
> > mailing list.
> >
> > - Contributor Retention – this is divided into two parts; one is the
> > length of time contributors have been in a community and two; a breakdown
> > of active, retained, people who have left a community and also those that
> > have returned after a breakdown
> >
> >
> > * Methodology *
> > What I’ve done is this:
> >
> > Apache culture was created as a result of the Apache Webserver project. So
> > I used this Kibble data for this project to create a cultural baseline
> > based on the above indicators.
> >
> > I then took two sets of Apache projects (one group that have been ASF Top
> > Level projects for over 5 years and one group that have been Apache Top
> > Level projects for less than 5 years) and measured their indicators in
> > Kibble.
> >
> > I then compared them both to the Apache webserver cultural baseline.
> >
> > My results were interesting and the most significant thing I can mention
> > is that the +1 indicator, which is something culturally unique to Apache as
> > a consensus indicator came out as part of the KPE analysis is all 3
> > groups.(So some cultural transmission is happening!)
> >
> > It also seemed to indicate that the older projects were better at some of
> > the Apache cultural aspects e.g the recognition of merit, where the younger
> > projects were amazingly successful at community growth.
> >
> > I’ll load my paper maybe onto the wiki for people to look at (and probably
> > critique :-) before I share it more widely within Apache.
> >
> > Thanks
> > Sharan
> >
> >
> >
> >
>
> --
> Georg J.P. Link
> PhD Candidate
> College of Information Science and Technology | PKI 367
> University of Nebraska at Omaha | www.unomaha.edu
> he/him
>
Re: Kibble used as part of an MBA paper
Posted by Jacques Le Roux <ja...@les7arts.com>.
Hi Sharan,
For lack of time I had a look at the summary of the wiki page, quite interesting conclusions!
Thanks
Jacques
Le 10/01/2019 à 17:27, Sharan Foga a écrit :
> Hi All
>
> I’ve done the edits and have loaded my paper onto the Kibble wiki here. https://s.apache.org/VTAy
>
> I’ve also created a wiki page without all the nice Kibble graphs :-) that summarises the main points from the paper here. https://s.apache.org/ESEh
>
> Please feel to take a look and give any feedback. Also please feel free to comments on the wiki page itself or start a discussion on this mailing list.
>
> Thanks
> Sharan
>
> On 2018/12/30 11:24:58, Sharan Foga <sh...@apache.org> wrote:
>> Hi Georg
>>
>> Thanks for the interest. I have some minor edits to do so will do those and get it posted later this week. It's 31 pages long so might see if I can do a summary version too.
>>
>> Thanks
>> Sharan
>>
>> On 2018/12/22 18:13:42, Georg Link <gl...@unomaha.edu> wrote:
>>> Hi Sharan,
>>>
>>> Interesting setup. I would like to read the paper :)
>>>
>>> Happy Holidays,
>>> Georg
>>>
>>> On Sat, Dec 22, 2018 at 3:59 AM Sharan Foga <sh...@apache.org> wrote:
>>>
>>>> Hi All
>>>>
>>>> I’m sorry I haven’t been that active on this recently, this has been
>>>> caused by a few things happening that meant that I needed to focus my time
>>>> and effort elsewhere.
>>>>
>>>> One of the things that my time has been focussed on is on assignment for
>>>> my MBA where I have used Kibble as my research tool.
>>>>
>>>> To give you some background.
>>>>
>>>> My paper was focussed on the transmission of culture and values in open
>>>> source and I wanted to create a baseline to be able to measure cultural
>>>> indicators. So how can Kibble help? (I hear you ask :-), so let me explain
>>>> a little.
>>>>
>>>> Kibble includes the following:
>>>>
>>>> - Pony Factor – which is an indicator of the diversity of key project
>>>> contributors. So thinking of the Apache culture and its values, we would be
>>>> looking to see the Pony Factor grow over time as a project community grows
>>>> and accepts new conributors. There is also a meta Pony Factor which tries
>>>> to measure the diversity of the companies contributing.
>>>>
>>>> - Sentient / Mood Analysis – which indicates the mood of the mailing list
>>>> communications.
>>>>
>>>> - Key Phrase Extraction (KPE) – which pulls out important words or phrases
>>>> that summarise the main topics or ideas that are being discussed on the
>>>> mailing list.
>>>>
>>>> - Contributor Retention – this is divided into two parts; one is the
>>>> length of time contributors have been in a community and two; a breakdown
>>>> of active, retained, people who have left a community and also those that
>>>> have returned after a breakdown
>>>>
>>>>
>>>> * Methodology *
>>>> What I’ve done is this:
>>>>
>>>> Apache culture was created as a result of the Apache Webserver project. So
>>>> I used this Kibble data for this project to create a cultural baseline
>>>> based on the above indicators.
>>>>
>>>> I then took two sets of Apache projects (one group that have been ASF Top
>>>> Level projects for over 5 years and one group that have been Apache Top
>>>> Level projects for less than 5 years) and measured their indicators in
>>>> Kibble.
>>>>
>>>> I then compared them both to the Apache webserver cultural baseline.
>>>>
>>>> My results were interesting and the most significant thing I can mention
>>>> is that the +1 indicator, which is something culturally unique to Apache as
>>>> a consensus indicator came out as part of the KPE analysis is all 3
>>>> groups.(So some cultural transmission is happening!)
>>>>
>>>> It also seemed to indicate that the older projects were better at some of
>>>> the Apache cultural aspects e.g the recognition of merit, where the younger
>>>> projects were amazingly successful at community growth.
>>>>
>>>> I’ll load my paper maybe onto the wiki for people to look at (and probably
>>>> critique :-) before I share it more widely within Apache.
>>>>
>>>> Thanks
>>>> Sharan
>>>>
>>>>
>>>>
>>>>
>>> --
>>> Georg J.P. Link
>>> PhD Candidate
>>> College of Information Science and Technology | PKI 367
>>> University of Nebraska at Omaha | www.unomaha.edu
>>> he/him
>>>
Re: Kibble used as part of an MBA paper
Posted by Sharan Foga <sh...@apache.org>.
Hi All
I’ve done the edits and have loaded my paper onto the Kibble wiki here. https://s.apache.org/VTAy
I’ve also created a wiki page without all the nice Kibble graphs :-) that summarises the main points from the paper here. https://s.apache.org/ESEh
Please feel to take a look and give any feedback. Also please feel free to comments on the wiki page itself or start a discussion on this mailing list.
Thanks
Sharan
On 2018/12/30 11:24:58, Sharan Foga <sh...@apache.org> wrote:
> Hi Georg
>
> Thanks for the interest. I have some minor edits to do so will do those and get it posted later this week. It's 31 pages long so might see if I can do a summary version too.
>
> Thanks
> Sharan
>
> On 2018/12/22 18:13:42, Georg Link <gl...@unomaha.edu> wrote:
> > Hi Sharan,
> >
> > Interesting setup. I would like to read the paper :)
> >
> > Happy Holidays,
> > Georg
> >
> > On Sat, Dec 22, 2018 at 3:59 AM Sharan Foga <sh...@apache.org> wrote:
> >
> > > Hi All
> > >
> > > I’m sorry I haven’t been that active on this recently, this has been
> > > caused by a few things happening that meant that I needed to focus my time
> > > and effort elsewhere.
> > >
> > > One of the things that my time has been focussed on is on assignment for
> > > my MBA where I have used Kibble as my research tool.
> > >
> > > To give you some background.
> > >
> > > My paper was focussed on the transmission of culture and values in open
> > > source and I wanted to create a baseline to be able to measure cultural
> > > indicators. So how can Kibble help? (I hear you ask :-), so let me explain
> > > a little.
> > >
> > > Kibble includes the following:
> > >
> > > - Pony Factor – which is an indicator of the diversity of key project
> > > contributors. So thinking of the Apache culture and its values, we would be
> > > looking to see the Pony Factor grow over time as a project community grows
> > > and accepts new conributors. There is also a meta Pony Factor which tries
> > > to measure the diversity of the companies contributing.
> > >
> > > - Sentient / Mood Analysis – which indicates the mood of the mailing list
> > > communications.
> > >
> > > - Key Phrase Extraction (KPE) – which pulls out important words or phrases
> > > that summarise the main topics or ideas that are being discussed on the
> > > mailing list.
> > >
> > > - Contributor Retention – this is divided into two parts; one is the
> > > length of time contributors have been in a community and two; a breakdown
> > > of active, retained, people who have left a community and also those that
> > > have returned after a breakdown
> > >
> > >
> > > * Methodology *
> > > What I’ve done is this:
> > >
> > > Apache culture was created as a result of the Apache Webserver project. So
> > > I used this Kibble data for this project to create a cultural baseline
> > > based on the above indicators.
> > >
> > > I then took two sets of Apache projects (one group that have been ASF Top
> > > Level projects for over 5 years and one group that have been Apache Top
> > > Level projects for less than 5 years) and measured their indicators in
> > > Kibble.
> > >
> > > I then compared them both to the Apache webserver cultural baseline.
> > >
> > > My results were interesting and the most significant thing I can mention
> > > is that the +1 indicator, which is something culturally unique to Apache as
> > > a consensus indicator came out as part of the KPE analysis is all 3
> > > groups.(So some cultural transmission is happening!)
> > >
> > > It also seemed to indicate that the older projects were better at some of
> > > the Apache cultural aspects e.g the recognition of merit, where the younger
> > > projects were amazingly successful at community growth.
> > >
> > > I’ll load my paper maybe onto the wiki for people to look at (and probably
> > > critique :-) before I share it more widely within Apache.
> > >
> > > Thanks
> > > Sharan
> > >
> > >
> > >
> > >
> >
> > --
> > Georg J.P. Link
> > PhD Candidate
> > College of Information Science and Technology | PKI 367
> > University of Nebraska at Omaha | www.unomaha.edu
> > he/him
> >
>