ALTC overall and day three

So ALTC is over for another year, and how did the network look for the entire conference?

altc_1441962280json

When reduced to just people who sent over 5 tweets, the network is much smaller, and the white lines indicate people talking to each other (red means a tweet went in one direction, but not vice versa). Does this suggest a core of ALT tweeters?

 

altc_1441962280json_bi

And the time plot for the conference – peaking during keynotes as ever

 

altc_1441962280json_time_plot

Thursday’s 5 or more tweeters diagram was smaller than previous days – perhaps as people ebb home

 

altthursjson_bi

and the most retweeted person wasn’t the keynote – @czernie

 

altthursjson_retweet

A second boost of tweets as people reflect and go home?

 

altthursjson_time_plot

and the most retweet overall – note a keynote speaker

askaksaksk

altc day 2

So after day one at ALTC, what was day two like – well quite a lot of tweetsaltslicejson (1) altslicejson (2)

and the most connected person was the day’s keynote

 

altslicejson

 

 

But not a lot of people made 5 tweets

altslicejson_bi

 

and the most retweeted two – yesterday’s and today’s key note speakers

altslicejson_retweet

 

 

 

and the peak tweets? During the keynote, although it didn’t drop off as much as yesterday

altslicejson_time_plot

#altc 2015 Conference hashtag

So running at present (September 2015) is ALTC – the conference of the Association of Learning Technologists. We did 2013 as well

So we can do our standard predictions – most mentioned will be the keynote, the peak of tweets will be during the keynote, most retweeted will be the keynote, most people will tweet once.

altc_1441787335json

Most mentioned person was the keynote speaker

altc_1441787335json_retweet (2)

Not the most retweeted, but mentioned in the most retweeted tweet

altc_1441787335json_time_plot

And tweets peak during the keynote and die off during the day

 

altc_1441787335json (3)

 

and a lot of people tweet, but

altc_1441787335json_bi (1)

Not many tweet twice

 

 

altc_1441787335json_rt_contrib

and a lot of people engage only via retweets

altc_1441787335json_reply_depth_pie

and the longest thread on the hashtag was 4 tweets long

altc_1441787335json_bi

 

and not many people got to 5 tweets

altc_1441787335json (1)

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#OEGlobal hashtag analysis

#OEglobal is the Open Education Consortium’s annual conference, which happened last week in Banff, We covered last year’s conference as well.

time plot

Overall the conference sticks to the traditionally quiet before hand and then keynote spikes (do people pay less attention in keynotes?) at the beginning of each day.

all network

Overall the conference is busy, with distinct activity around 3 o’clock (mostly OU tweeters) with TJ Bliss (of the Hewlett Foundation) is at 6 o’clock and contributes to the node visible there.

However if you reduce the network down to people who send two tweets, the drop off is huge

2 tweets

Where the white lines show when a tweet has gone in both directions. Suggesting, perhaps a small community conversing with each other. There is a small drop off when we look at people with over 5 tweets

5 tweets

Interestingly, I wonder if this reflects Openness as having quite a strong core of people – perhaps a case to look into OER14 and OpenEd13  to see similar patterns?

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#goskp2014 tweet analysis

So GOSKP2014 is a conference on the generation of scholarly knowledge – see the conference web page for more

We’ve done hundreds of conferences – so will this one behave as before?
goskp2014_1418387645json goskp2014_1418387645json_matrix

Well early tweeters (after 3 O’Clock on the circular diagram) do tweet more and do seem to be more connected. With, as on the matrix, the official conference account being the most connected. goskp2014_1418387645json2

 

This fact is shown on this focused network diagram (showing on tweeters connected to another user on the network). Where conferences have an official account, it does, more often than not appear as the biggest tweeter and most connected. Some times it is also the most retweeted (if not the conference account, then usually the keynote speaker) – which isn’t in this case

goskp2014_1418387645json_retweet

Do we also see the dropped hashtag of lore? We see more users retweeting than tweeting

goskp2014_1418387645json_rt_contrib

 

 

goskp2014_1418387645json_time_plot_words

And as expected – tweeting peaks during keynotes

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#opened14 tweet analysis

So #OpenEd14 is a big open education conference – running in Washington DC this year. Let us have a look at the tweets.

So here is all the tweets mentioning #opened14

opened14_1416487523json

Here all the people who mention the hashtag who also mention another user

opened14_1416487523json (1)

here we see all mention of users who don’t use the hashtag

 

opened14_1416487523json (2)

 

A few very popular retweets, and, oddly – @daniparadis and not a keynote speaker was the most retweeted.

opened14_1416487523json_retweet

 

And when did most tweets happen – just as the keynote started

opened14_1416487523json_time_plot_words

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Exploring ALTMOOCsig

ALTMOOCSIG, perhaps the long acronym since the AA is the Association of Learning Technologists Massive Open Online Course Special Interest Group. Congratulations on making sentence 2.

Being a conference hashtag, but for one day, what do we see in the tweets?

Tweeters mostly at the conference (only a small conference – maybe 80 people?)

ALTjson

Most tweets aren’t replies (white lines show the a tweet went in both directions)

ALTjson_bi

Which is also shown in this chart

ALTjson_reply_depth_pie

(for ref, people tend to “drop” a hashtag on the reply)

ALTjson_conversation_tree_user_new

An analysis of the conversation shows a few threads develop (each square is a tweet, each step right is a reply)

ALTjson_matrix

This matrix plots the number of tweets between people, showing high interaction amongst a few subsets of people

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DH2014 Hashtag Analysis

DH2014 is the yearly Digital Humanities Conference which has just finished in Lausanne. It is, by a way, the biggest conference we see data wise.

This is the network diagram, which is huge

dh_mergedjson_bi

Everyone tweeting on the hashtag

If we start to reduce this dowm though, it takes a long time for it to become a small group of people

2 people

Network for people tweeting at least two people

2 tweets

Network for people sending at least two tweets

3 people

3 People

3 tweets

3 Tweets

4 tweets

4 Tweets

5

5 People

6

6 People

7

7 People

8

8 People

9

9 People

10 people

10 Tweets

10

10 People

15

15 People

20 people

20 tweets

20

20 People

So after setting the level to 20 tweets or 20 people do we get to a “small” group. Are DH scholars the most connected? The biggest tweeters? Some intrinsic bond?

dh_mergedjson_retweet

 

and in terms of retweets, a huge list

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OER14 Day One Hashtag Analysis

OER14 is the Open Education Conference hosted in Newcastle (England). So does it behave like other conferences – especially Open Education ones such as CourseraOpenEd and OCWC

So day 1’s network looks as such

oer_tsjson network

The early tweeters tweet most and are most connected, bar a few appearing later on. This is pretty much standard. The late “arrivals” (for want of a term) seem to tweet a lot of people as well.

oer_tsjson

Only a quarter of people on the hashtag haven’t replied to some one else on the hashtag – @dkernohan is the most connected

The matrix of people who tweet at each other shows a lot more clustering than usual – people talking to their own friends and followers?

oer_tsjson_matrix

 

Looking at bidirectional networks shows more interaction than we saw at OCWC and Coursera. I would assume OER14 is using existing twitter networks and perhaps as a smaller, more nationally focused cohort already know each other?

oer_tsjson_onlybi

Most tweets aren’t replies

oer_tsjson_reply_depth_pie

Or AKA – no one replies to a conference tweet and leaves the hashtag on.

oer_tsjson_conversation_tree_user_new

And fairly few “conversations” happen on the hashtag

oer_tsjson_retweet

@lornamcampbell is the most retweeted

oer_tsjson_time_plot_words

and the conference shows the classic keynote spike – which every conference ever shows.

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OCWC Global hashtag analysis

OCWCGlobal is the OpenCourseWare Consortium’s annual conference. Let us have a look at the hashtag and see what happens

ocwcglobaljson

A lot of tweeters – earlier tweeters tweeting a lot (each red line is a tweet going between those people)

ocwcglobaljson_onlybi

If we look at connections between people only (where people replied) we see a lot less people

ocwcglobaljson_all

A lot of people tweet only once, but some people tweet throughout the conference (each red line is a tweet)

ocwcglobal_1398413397json_time_plot_words

The most connected account isn’t the OCW account, but Alannah Fitzgerald

ocwcglobaljson_linkswatch

Links are shared throughout the conference – there is no obvious quiet link period when conversation lacks links being shared

ocwcglobaljson_reply_depth_pie

Conversations aren’t very long – most tweets aren’t replied to

ocwcglobaljson_retweet

Lots of people are retweeted

ocwcglobaljson_time_plot_words

And when do most tweets happen – during keynotes – do people pay more attention in sessions (tongue in cheek, keynotes are lovely)