[Air-l] social network migration
Michael Zimmer
michael.zimmer at nyu.edu
Sun Jul 1 05:19:07 PDT 2007
IMO, what would be best is standardization of data structures across
social networks to enable portability of user data. I should be able
to pick up all my data (and relationships?) from one social network
and move to another.
-mz
-----
Michael Zimmer, PhD
Microsoft Fellow, Information Society Project, Yale Law School
e: michael.zimmer at nyu.edu
w: http://michaelzimmer.org
On Jul 1, 2007, at 8:11 AM, gazz wrote:
> God yes! I need that!
>
> On Sat, 2007-06-30 at 17:47 +0200, Maciej Kos wrote:
>
>> Hello,
>>
>> I wonder if we would see a sort of a social network aggregator
>> developed in the near future. A tool to integrate all our networks..
>>
>> Today, we can aggregate all the news, blogs, etc. we need using an
>> RSS
>> reader. We can also aggregate all the content that we create on
>> different platforms in one place - using jaiku.com, so that it is
>> easier for others to follow everything we do online.
>>
>> Would that be possible to somehow integrate all our online social
>> networks? Is there a need for it?
>>
>> M.
>>
>> On 6/20/07, elw at stderr.org <elw at stderr.org> wrote:
>>>
>>>> Now for the scholarly types, this community seems to be a bit more
>>>> fragmented. I know many of these people who have accounts on
>>>> myspace and
>>>> even friendster, in addition to Facebook. I personally have an
>>>> inactive
>>>> friendster account that never ceases to amaze me when I get
>>>> notices that
>>>> someone actually was there. These are slowly dribbling off.
>>>
>>> there are at least a few people from aoir that i've found on:
>>>
>>> tribe
>>> friendster
>>> facebook
>>> myspace
>>> linkedin
>>> ryze
>>> orkut
>>> [a site i've forgotten the name of...]
>>>
>>> and probably a significant number of other sites that i don't
>>> know about.
>>>
>>> I have friends from several different demographics on each of them.
>>>
>>> When folks try to compress a site into "teens go here" and
>>> "latinos mostly
>>> go here", they generally miss out on the fact that these sites
>>> are HUGE -
>>> so huge that there is a broad spectrum of behavior present on ALL
>>> of them.
>>> Surface-level characterizations are great, yes, but there's a lot of
>>> nuance in people's behaviors and networking patterns - that is
>>> easily
>>> missed.
>>>
>>> --elijah
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