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	<title>OUseful.Info, the blog... &#187; marketing</title>
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		<title>List Intelligence &#8211; Finding Reliable, Trustworthy and Comprehensive Topic/Sector Based Twitter Lists</title>
		<link>http://blog.ouseful.info/2011/06/09/list-intelligence-finding-comprehensive-topicsector-based-twitter-lists/</link>
		<comments>http://blog.ouseful.info/2011/06/09/list-intelligence-finding-comprehensive-topicsector-based-twitter-lists/#comments</comments>
		<pubDate>Thu, 09 Jun 2011 13:03:03 +0000</pubDate>
		<dc:creator>Tony Hirst</dc:creator>
				<category><![CDATA[Data]]></category>
		<category><![CDATA[Infoskills]]></category>
		<category><![CDATA[Insight]]></category>
		<category><![CDATA[marketing]]></category>
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		<description><![CDATA[I woke up full of good intentions to do so &#8220;proper&#8221; work today, but a a post by Brian Kelly on Numbers Matter: Let’s Provide Open Access to Usage Data and Not Just Research Papers triggered the hacker ethic in me and so I immediately set off down a rabbit hole&#8230; And here&#8217;s what I [&#8230;]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blog.ouseful.info&#038;blog=325417&#038;post=5653&#038;subd=ouseful&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
				<content:encoded><![CDATA[<p>I woke up full of good intentions to do so &#8220;proper&#8221; work today, but a a post by Brian Kelly on <a href="http://ukwebfocus.wordpress.com/2011/06/09/numbers-matter-lets-provide-open-access-to-usage-data-and-not-just-research-papers/">Numbers Matter: Let’s Provide Open Access to Usage Data and Not Just Research Papers</a> triggered the <a href="http://www.amazon.co.uk/Hackers-Heroes-Computer-Revolution-Anniversary/dp/1449388396/?tag=ouseful-21">hacker ethic</a> in me and so I immediately set off down a rabbit hole&#8230; And here&#8217;s what I came back with&#8230;</p>
<p>Brian wrote:</p>
<blockquote><p>The statistics for Facebook, Twitter and YouTube are easily obtained – although I am not aware of a way of automating the gathering of such statistics across all UK University presences which would be helpful if we wished to provide a national picture of how UK Universities are using these services.</p></blockquote>
<p>Brian Kelly: <a href="http://ukwebfocus.wordpress.com/2011/06/09/numbers-matter-lets-provide-open-access-to-usage-data-and-not-just-research-papers/">Numbers Matter: Let’s Provide Open Access to Usage Data and Not Just Research Papers</a></p>
<p>&#8220;I am not aware of a way of&#8230;&#8221; Arghhhhhhh&#8230; <em>Need &#8211; a &#8211; fix &#8230;</em></p>
<p>Something else Brian had done previously was a post on <a href="http://ukwebfocus.wordpress.com/2011/02/22/institutional-use-of-twitter-by-the-1994-group-of-uk-universities/">Institutional Use of Twitter by the 1994 Group of UK Universities</a>, which had got me wondering about <a href="http://blog.ouseful.info/2011/01/14/setting-an-exercise-in-social-media-research/">Setting An Exercise In Social Media &#8220;Research&#8221;</a>, or <em>&#8220;how I’d go about finding, or compiling, a comprehensive list of official Twitter accounts for UK HE institution&#8221;</em></p>
<p>I didn&#8217;t actually do anything about it at the time, but today I thought I&#8217;d spend an hour or so* mulling it over (after all, it might give me something to talk about at the OU hosted and UKOLN promoted <a href="http://www.ukoln.ac.uk/web-focus/events/workshops/eim-2011-07/">Metrics and Social Web Services: Quantitative Evidence for their Use and Impact</a> (I wish I hadn&#8217;t used the &#8220;script kiddie&#8221; title now -I&#8217;m a wannabe <em>hacker</em>, goddammit ;-))</p>
<p>(* It&#8217;s actually taken me about 4 hours, including this write up&#8230;)</p>
<p>So here&#8217;s what I came up with. The recipe is this:</p>
<p>- take one twitter list* that is broadly in the area you&#8217;re interested in (it doesn&#8217;t have to be a list, it might be a list of names of folk using a particular hashtag, or <a href="http://blog.ouseful.info/2010/10/27/discovering-co-location-communities-tweets-near-wherever/">tweeting from a particular location</a>, or even just the folk followed by a particular individual, for example); in the case of UK HEIs, I&#8217;m going to use <em>@thirdyearabroad</em>&#8216;s <em>uk-universities</em> list;</p>
<p>- for every person on that &#8220;list&#8221;, look up the lists those people are on, and sort the results by list; this gives me something like:</p>
<p><tt>...<br />
/blackwellbooks/he-institutes 76<br />
/christchurchsu/universities 76<br />
/uhu_global/uk-irish 77<br />
/targetjobsUK/universitiesuk 77<br />
/umnoticias/universidades-2 78<br />
/Routledge_StRef/universities-colleges 78<br />
/eMotivator/higher-education 81<br />
/Universityru/the-university-round-up 81<br />
/VJEuroRSCGHeist/institutions 82<br />
/UKTEFL/colleges-universities 82<br />
/SPA_Digest/universities-7 85<br />
/_StudentvisasUK/uk-uni-s-and-colleges 85<br />
/OMorris/uk-universities 86<br />
/UniversitiesUK/member-institutions 87<br />
/bellerbys/uk-universities 87<br />
/EuropaWOL/uk-univs 89<br />
/livuni/universities 89<br />
/Bi5on/educational 90<br />
/campusprabi/ukuniversities 90<br />
/thirdyearabroad/uk-universities 100</tt></p>
<p>(Note that this also gives me a list of Twitter accounts of folk who may be interested in the sector&#8230;? I notice Routledge and Blackwell&#8217;s books for example? I wonder what a social network analysis of the friendship connections between the top 50 list maintainers (in the above list sorting) would look like [another rabbit hole appears...]?)</p>
<p>- by eye, scan those lists, and see if we can identify another list that looks promising. for example, what happens if I run the routine again using the <em>@campusprabi/ukuniversities</em> list?</p>
<p><tt>...<br />
/Universityru/the-university-round-up 88<br />
/thirdyearabroad/uk-universities 90<br />
/_StudentvisasUK/uk-uni-s-and-colleges 90<br />
/UKTEFL/colleges-universities 90<br />
/bellerbys/uk-universities 93<br />
/SPA_Digest/universities-7 93<br />
/livuni/universities 96<br />
/OMorris/uk-universities 104<br />
/UniversitiesUK/member-institutions 105<br />
/EuropaWOL/uk-univs 106<br />
/Bi5on/educational 109<br />
/campusprabi/ukuniversities 140</tt></p>
<p>Or how about <em>@UniversitiesUK/member-institutions</em>?</p>
<p><tt>...<br />
/targetjobsUK/universitiesuk 83<br />
/Universityru/the-university-round-up 85<br />
/Routledge_StRef/universities-colleges 85<br />
/blackwellbooks/he-institutes 86<br />
/thirdyearabroad/uk-universities 87<br />
/UKTEFL/colleges-universities 87<br />
/_StudentvisasUK/uk-uni-s-and-colleges 88<br />
/SPA_Digest/universities-7 91<br />
/bellerbys/uk-universities 95<br />
/livuni/universities 96<br />
/campusprabi/ukuniversities 105<br />
/Bi5on/educational 119<br />
/EuropaWOL/uk-univs 123<br />
/OMorris/uk-universities 123<br />
/UniversitiesUK/member-institutions 127<br />
</tt></p>
<p>There&#8217;s an algorithm waiting to be found here, somewhere, for now identifying who members of the university set are? A very crude start may be something like: using the members of top 10(?) lists, create a list f possible universities, and class as universities those that appear on at least 5(?) of the lists?</p>
<p>Let&#8217;s try that, using the the 15 lists from the <em>@UniversitiesUK/member-institutions</em> run&#8230;</p>
<p>Here&#8217;s who&#8217;s listed in 14 or 15 of those lists:</p>
<p><tt>UniKent 14<br />
UniWestminster 14<br />
UCLan 14<br />
bournemouthuni 14<br />
EdinburghNapier 14<br />
RobertGordonUni 14<br />
RoehamptonUni 14<br />
UniversityLeeds 14<br />
HeriotWattUni 14<br />
LondonU 14<br />
UniofEdinburgh 14<br />
UniOfYork 14<br />
uniglam 14<br />
newportuni 14<br />
oxford_brookes 14<br />
Bristoluni 14<br />
GlasgowUni 14<br />
SussexUni 14<br />
AbertayUni 14<br />
ManMetUni 14<br />
GlyndwrUni 14<br />
aberdeenuni 14<br />
LancasterUni 14<br />
BradfordUni 14<br />
uniofglos 14<br />
GoldsmithsUoL 14<br />
QMUL 14<br />
BoltonUni 14<br />
KeeleUniversity 14<br />
imperialcollege 14<br />
uniwales 14<br />
UEL_News 15<br />
univofstandrews 15<br />
edgehill 15<br />
AberUni 15<br />
Uni_of_Essex 15<br />
SwanseaMet 15<br />
UniOfSurrey 15<br />
UniofBath 15<br />
UniofPlym 15<br />
UniofExeter 15<br />
BangorUni 15<br />
BathSpaUni 15<br />
sheffhallamuni 15<br />
TeessideUni 15<br />
UniStrathclyde 15<br />
AstonUniversity 15<br />
unibirmingham 15<br />
HuddersfieldUni 15<br />
UniofOxford 15<br />
KingstonUni 15<br />
portsmouthuni 15<br />
MiddlesexUni1 15<br />
sheffielduni 15<br />
UniOfHull 15<br />
SalfordUni 15<br />
StaffsUni 15<br />
warwickuni 15<br />
uniofbrighton 15<br />
cardiffuni 15<br />
UlsterUni 15<br />
leedsmet 15<br />
DundeeUniv 15</tt></p>
<p>So we presumably have good confidence that those are UK university accounts&#8230; it maybe also says something about the reach of those accounts?</p>
<p>Here&#8217;s that list of accounts with 14-15 mentions again and data corresponding to: number of lists, friends, followers, status updates, creation date:</p>
<pre>UniWestminster 14 2420 3204 455 2007-08-29 13:53:51
UCLan 14 129 2925 1286 2008-07-23 11:30:08
bournemouthuni 14 228 3436 783 2009-07-14 16:47:34
EdinburghNapier 14 101 3589 621 2009-02-25 08:43:30
RobertGordonUni 14 129 1185 580 2010-02-04 09:17:23
RoehamptonUni 14 1345 2241 969 2009-04-19 09:25:06
UniversityLeeds 14 265 5416 974 2009-04-20 22:44:14
HeriotWattUni 14 59 2137 317 2009-03-03 09:10:37
LondonU 14 981 9078 615 2008-12-16 22:38:05
UniofEdinburgh 14 195 6150 771 2009-03-09 12:01:11
UniOfYork 14 131 4058 467 2009-03-27 16:12:05
uniglam 14 49 1769 858 2008-04-11 13:39:54
newportuni 14 271 2676 452 2008-07-17 12:52:08
oxford_brookes 14 931 3645 805 2009-06-22 12:59:32
Bristoluni 14 70 5952 1398 2009-03-16 16:51:45
GlasgowUni 14 124 8441 888 2009-01-30 09:06:35
SussexUni 14 1434 7703 2822 2009-02-16 16:35:37
AbertayUni 14 272 3173 1931 2009-02-10 13:36:00
ManMetUni 14 92 4888 703 2008-05-12 11:44:03
GlyndwrUni 14 837 1447 1637 2009-02-27 14:07:49
aberdeenuni 14 2370 5068 683 2009-02-09 10:38:18
LancasterUni 14 186 4417 445 2009-03-20 15:35:26
BradfordUni 14 369 3795 781 2009-01-05 14:06:26
uniofglos 14 282 2280 793 2009-05-20 12:55:28
GoldsmithsUoL 14 485 4008 465 2009-02-12 14:45:17
QMUL 14 1244 3692 899 2009-01-23 16:36:23
BoltonUni 14 114 1015 594 2009-03-06 09:21:28
KeeleUniversity 14 1528 5476 2890 2008-07-11 10:29:19
imperialcollege 14 2484 8014 1030 2008-07-08 14:56:33
uniwales 14 52 1507 319 2009-05-28 09:55:48
UEL_News 15 1907 2010 1780 2009-07-22 11:52:12
univofstandrews 15 118 3679 340 2009-02-02 15:12:20
edgehill 15 821 3556 1384 2008-05-26 11:53:56
AberUni 15 3986 3827 693 2009-01-07 14:07:57
Uni_of_Essex 15 258 3475 1156 2009-02-27 15:43:26
SwanseaMet 15 289 1573 856 2009-05-20 07:31:41
UniOfSurrey 15 487 5331 861 2009-01-24 13:42:48
UniofBath 15 90 6977 2093 2009-01-19 10:39:19
UniofPlym 15 599 3672 1173 2009-06-22 19:23:19
UniofExeter 15 3824 3921 1291 2009-07-27 16:35:16
BangorUni 15 96 3288 420 2009-01-23 15:12:50
BathSpaUni 15 36 1529 193 2010-01-08 10:39:07
sheffhallamuni 15 498 4565 513 2009-02-11 14:47:10
TeessideUni 15 971 5334 2261 2009-02-04 16:20:01
UniStrathclyde 15 181 3445 700 2009-03-06 11:45:17
AstonUniversity 15 384 5221 852 2008-03-26 11:14:12
unibirmingham 15 388 7665 1095 2008-12-04 11:27:39
HuddersfieldUni 15 1124 2941 989 2009-06-18 12:53:54
UniofOxford 15 53 19569 475 2009-06-18 08:28:28
KingstonUni 15 5 4215 216 2009-02-04 16:49:55
portsmouthuni 15 142 4073 1346 2009-01-26 16:04:41
MiddlesexUni1 15 115 2212 389 2009-05-13 16:15:56
sheffielduni 15 7240 8069 882 2009-01-22 15:06:17
UniOfHull 15 572 3061 587 2009-07-24 11:50:29
SalfordUni 15 441 5783 1177 2008-10-30 16:04:15
StaffsUni 15 329 2854 1326 2009-08-19 09:02:40
warwickuni 15 784 7987 1440 2008-08-20 11:12:25
uniofbrighton 15 150 3822 375 2009-05-08 14:18:14
cardiffuni 15 137 8597 1113 2008-01-11 22:48:49
UlsterUni 15 92 3671 1638 2008-07-17 22:27:15
leedsmet 15 4610 4977 4224 2009-02-10 10:28:24
DundeeUniv 15 2794 4407 4624 2009-04-24 14:14:29</pre>
<p>
For the unis at the bottom of the list, I wonder if the data identifies possible reasons why? A newly created account, maybe, not many updates, few followers? Presence lower down the list also maybe signals to the relevant marketing departments that their account maybe doesn&#8217;t have the reach they thought it did?</p>
<p>If you want to explore the data, it&#8217;s in a sortable table <a href="http://ouseful.open.ac.uk/datastore/googVizTable.html?key=0AmbQbL4Lrd61dFIyZFlkMGRJcFFnZHltdFh4djJVUnc&amp;authkey=CJPFkPQK&amp;gid=0">here</a> (click on column header to sort by that column).</p>
<p>Not that many people are following lists yet&#8230; hmmm&#8230; maybe I need to add that in &#8211; numbers of people following a list when choosing lists?</p>
<p>Here&#8217;s the top 15 lists containing at least 20 unis from the <em>@UniversitiesUK/member-institutions</em> list, ordered by subscriber count (the columns are twittername/list, no. of unis from original list on list, number of subscribers):</p>
<p><tt>/UniversitiesUK/member-institutions 127 125<br />
/EtiquetteWise/colleges-and-universities 24 53<br />
/aderitus/universities 44 34<br />
/EMGonline/universities-and-colleges 30 30<br />
/Farmsphere/followfarmer 22 29<br />
/ellielovell/universities 46 29<br />
/CR4_News/engineering-education 46 28<br />
/HowToEnjoyCoUk/biz-trade-work 23 25<br />
/mbaexchange/schools 31 24<br />
/blackwellbooks/academia 79 23</tt></p>
<p>How about if we filter on 75 or more unis from the <em>@UniversitiesUK/member-institutions</em> list?</p>
<p><tt>/UniversitiesUK/member-institutions 127 125<br />
/blackwellbooks/academia 79 23<br />
/umnoticias/universidades-2 79 16<br />
/Routledge_StRef/universities-colleges 85 14<br />
/uhu_global/uk-irish 81 10<br />
/eMotivator/higher-education 81 9<br />
/_StudentvisasUK/uk-uni-s-and-colleges 88 8<br />
/UKTEFL/colleges-universities 87 7<br />
/Universityru/the-university-round-up 85 6<br />
/bellerbys/uk-universities 95 5<br />
/e4scouk/universities 77 5<br />
/campusprabi/ukuniversities 105 5<br />
/EuropaWOL/uk-univs 123 4<br />
/OMorris/uk-universities 123 4<br />
/studentsoftware/uk-universities-colleges 76 4<br />
/thirdyearabroad/uk-universities 87 3<br />
/SPA_Digest/universities-7 91 3<br />
/targetjobsUK/universitiesuk 83 2<br />
/VJEuroRSCGHeist/institutions 82 2<br />
/blackwellbooks/he-institutes 86 2<br />
/livuni/universities 96 1<br />
/StaffsUni/other-universities 78 1<br />
/DanteSystems/universities 77 1<br />
/christchurchsu/universities 78 0<br />
/Bi5on/educational 119 0</tt></p>
<p>One last thing&#8230; Discovering newly created accounts is problematic with this approach &#8211; only accounts that appear on lists are included. One heuristic for finding new tweeps is to look the followers of the sorts of people they might follow (figuring that you&#8217;re unlikely to be followed by anyone in the early days, but you are likely to follow certain easily discovered, &#8220;big name&#8221; accounts in your sector). Many university accounts don&#8217;t follow large numbers of people, but maybe by looking at the accounts they <em>do</em> commonly follow (who are presumably the &#8220;big players&#8221; in the area), and then tracking back to the intersection of the people who follow those accounts (you still with me?!;-), we can get signal about new entrants to the area&#8230;?</p>
<br />  <a rel="nofollow" href="http://feeds.wordpress.com/1.0/gocomments/ouseful.wordpress.com/5653/"><img alt="" border="0" src="http://feeds.wordpress.com/1.0/comments/ouseful.wordpress.com/5653/" /></a> <img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blog.ouseful.info&#038;blog=325417&#038;post=5653&#038;subd=ouseful&#038;ref=&#038;feed=1" width="1" height="1" />]]></content:encoded>
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		<slash:comments>3</slash:comments>
	
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			<media:title type="html">Tony Hirst</media:title>
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		<item>
		<title>Opportunities for Course Promotion No. 237: Delicious</title>
		<link>http://blog.ouseful.info/2010/05/05/opportunities-for-course-promotion-no-237-delicious/</link>
		<comments>http://blog.ouseful.info/2010/05/05/opportunities-for-course-promotion-no-237-delicious/#comments</comments>
		<pubDate>Wed, 05 May 2010 11:37:12 +0000</pubDate>
		<dc:creator>Tony Hirst</dc:creator>
				<category><![CDATA[Admin...]]></category>
		<category><![CDATA[marketing]]></category>
		<category><![CDATA[pr]]></category>

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		<description><![CDATA[This just occurred to me, as I was using delicious to collect and feed resources into the Digital Worlds course&#8230; That is, make use of the tag description&#8230; :-)<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blog.ouseful.info&#038;blog=325417&#038;post=3435&#038;subd=ouseful&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
				<content:encoded><![CDATA[<p>This just occurred to me, as I was using delicious to collect and feed resources into the <a href="http://www3.open.ac.uk/study/undergraduate/course/t151.htm">Digital Worlds</a> course&#8230;</p>
<p><a href="http://delicious.com/psychemedia/t151" title="Photo Sharing"><img src="http://farm4.static.flickr.com/3313/4581207606_217b903a87.jpg" width="500" height="304" alt="Course Promotion - T151" /></a></p>
<p>That is, <em>make use of the tag description&#8230; :-)</em></p>
<br />  <a rel="nofollow" href="http://feeds.wordpress.com/1.0/gocomments/ouseful.wordpress.com/3435/"><img alt="" border="0" src="http://feeds.wordpress.com/1.0/comments/ouseful.wordpress.com/3435/" /></a> <img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blog.ouseful.info&#038;blog=325417&#038;post=3435&#038;subd=ouseful&#038;ref=&#038;feed=1" width="1" height="1" />]]></content:encoded>
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			<media:title type="html">Tony Hirst</media:title>
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			<media:title type="html">Course Promotion - T151</media:title>
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