Yerevan voted today!
Here’s the TAGS explorer analysis.
And NodeXL for 830pm May 5.
Honestly I slept through all of this, so I don’t have much analysis yet. More to come!
NodeXL for 11pm May 5.
NodeXL for 10am May 6.
Hey, let’s check in on #evnvote13, shall we?
This is the Yerevan mayor election. On Sunday May 5 people will vote.
I’m trying out a tool called TAGS explorer. What I like about it is that it automatically archives Tweets and the visualization is constantly updated. Also some of the different metrics are a bit more accessible than NodeXL, in terms of a public audience’s use.
The hashtag is getting a lot busier, huh?
But of course I also am doing #nodexl analyses, which are much more powerful and give clusters.
Here’s the #evnvote13 hashtag analysis on Friday May 3 at 8:30pm Yerevan time.
And in the cluster analysis, it is sort of cool that (unlike normally) all the Hayastantsis and foreigners are all mixed up. It seems like group 3 is more likely to Tweet in Armenian.
We’ll see how things change on Sunday.
Today is April 24th, which is the Armenian Genocide day of commemoration. All around the world Armenians hold events to raise awareness and remember their ancestors.
In the age of social media, April 24th has also moved online. For the last few years, Twitter hashtags of #armeniangenocide and #recognizethearmeniangenocide and #recognizearmeniangenocide have been common. This year I’ve also seen a growth in image memes or inspirational images posted to Facebook (not surprising, as that trend has been occurring on Facebook more widely.
In all of these cases, a group of individuals “take over” a hashtag by posting messages unrelated to the “spirit” of the hashtag. For example, #armvote13 was about reports of election violations, election results, etc, and people were using it to write things against Armenia and Armenians.
The result is that the hashtag becomes useless because the useful information is hard to find.
So, back to April 24.
Efforts were made to hijack the #armeniangenocide hashtag but this time the attempts were quite unsuccessful for a few reasons:
1. Unlike #protestbaku or #armvote13 – hashtags that were first being used by a small(ish) network of people to share information and second to get information out, #armeniangenocide is entirely an awareness-building hashtag with no information sharing or coordination purpose.
2. To use #protestbaku or #armvote13 you actually had to KNOW that the hashtag existed – someone had to tell you, or people you know on Twitter were using it. (And in both cases, the hashtag was decided upon by small groups of well known users and announced before the event.) #armeniangenocide is a no-brainer! This is the term that people use – it isn’t something that someone had to invent. So any person, veteran Twitter user or not, can get on Twitter, write a message “Hey, don’t forget the #armeniangenocide” and never use the hashtag again.
3. Similarly, it isn’t useful to follow the hashtag #armeniangenocide — it isn’t like #armvote13 where someone may be sitting at home waiting to hear news, or a hashtag like #ica13 (that I use for an academic conference) where people want information on hotel deals or something. There is no purpose in following #armeniangenocide as a hashtag.
4. Star Power! Armenians happen to have a TON of celebrities amongst their people. The most (in)famous in the 21st century is Kim Kardashian (and her siblings and their various significant others and their quarter Armenian spawn.) Kim has 17 MILLION Twitter followers. As my colleague Sarah Kendzior eloquently wrote last fall, when the Kardashians tweet about something, a LOT of people see it. (Sister Khloe and Kourtney have 8 million followers each, brother Rob has 4 million.)
This morning when Kim tweeted about the Armenian Genocide, she had over 1000 retweets every minute.
Given all of this, trying to hijack the #armeniangenocide hashtag is a waste of time.
I did a few nodexl hashtag analyses today, but the hashtag was so busy, there was no way to really track it.
#armeniangenocide 10am ET April 24
#RecognizeArmenianGenocide 11am ET April 24
#RecognizeArmenianGenocide 11:20am ET April 24
#armeniangenocide 2:30pm ET April 24
#recognizearmeniangenocide 2:30pm ET April 24
There is one other reason that the efforts to hijack the #armeniangenocide hashtag were futile.
Some of the Twitter accounts that tried to take over the hashtag were either spam/fake accounts or the real people that were trying to take over the hashtag had, amongst their followers, many fake accounts. As a result, it LOOKS like the person is more powerful on Twitter than they really are because they can make more “impressions” (more people will “see” what they wrote.)
Moreover, one can see using particular tools when there is an unusual growth in followers. For example, the below image.
If one were to try to acquire a bunch of Twitter followers in order to look more important or powerful or influential, one should try to be less obvious about it.
Normally Twitter users have written at least one tweet and follow some people. Furthermore, no native English speaker would write their location as CANADA, Regina or USA, Connecticut. Mine is Seattle, WA. At a quick glance of my friends, almost every American and Canadian writes their location in the way that we do on letters: Ann Arbor (city), MI (state abbreviation).
If you’d like to look at the Excel file of this particular Twitter user, contact me @katypearce on Twitter and I’ll send it to you. Even though this is all publicly available data, in honor of privacy, I won’t post it here.
#barevolution is on!
Here’s a hashtag analysis for the last week (this includes following relationships).
3 main groups here – foreigners, diaspora, and Hayastantsi.
Here’s the analysis for just replies and mentions.
The groups here are more interesting. There is a group of people all talking to/with @onewmphoto, another with @goldentent and @unzippedblog, another with @mkdotam, and another with @writepudding.
Here’s 1am April 10
Here’s 10pm April 10
ProtestBaku was the “official” hashtag of the protests in Baku over the past few months. It has been used by both the opposition and pro-government groups.
Throughout the last few months, the pro-government tweeple have both hijacked the ProtestBaku hashtag and started a few of their own. One such example is #molotovlugenclik (Molotov Cocktail Youth), which I wrote about here.
I’m not a fan of the “impressions” or “top tweet” metrics, but I’d like to look at the networks themselves.
There are two ways to conduct Twitter analysis – one is looking at followers (who follows whom) and the other is to look at replies (and just use of the hashtags).
I’m going to focus this analysis on use of the hashtag.
With protestbaku, there were 471 Twitter accounts that used the phrase, and 529 connections (replies and retweets).
The density (0-1 how interconnected the twitterers are), is 0.001 — so, while it might seem “bad” that the interconnectedness is low, considering that the point of this hashtag is to spread information, low density is a good thing.
The average distance between any two tweeple in the map is 4.09. So you can think about this in this way: for information to go from 1 person to another, it would have to go from X…X…X…X – two people in between to get there.
So, on this second analysis it takes into consideration people that follow each other. This tells you less about the spread of information and more about the relationships between people on Twitter.
However, there were 468 tweeple, with 9925 connections between them. The average distance was 2.25, so very close. Density was .05 – so tighter than the model without followers, but still information flows widely.
The most connected users are:
So there are 3 main groups.
Group 1 is foreigners and anti-government.
Group 2 includes mostly pro-government Twitter users.
Group 3 focuses on diasporan Azerbaijani tweeple like muntezir and JamalAli.
#protestbaku did a very good job of spreading information widely, especially compared to other similar hashtags both in Azerbaijan and in different protests globally.
Despite hijacking efforts, the hashtag was “controlled” by those who use it properly.
Lots of action in Azerbaijan right now – I can barely begin to describe.
But here’s some hashtag analysis.
#protestbaku from 10 March 3am
I don’t have much to say about this right now, but more will come tomorrow.
I’ve been collecting the tweets for #protestbaku but things haven’t been interesting in awhile. But let’s look at this analysis from March 8 at 5am.
I don’t really get these clusters.
Groups 1 and 2 tweet in Azerbaijani mostly. And somehow I am in group 2. I am not sure what the differences between groups 1 and 2 are.
Group 3 is a mix of foreigners and locals, an English and Azerbaijani.
But this weekend is a new protest, so the hashtag should liven up. Maybe this is a good pre-protest sense of what is happening.
There is currently a campaign “Justice for Khojaly.” I wish that I could link to wikipedia or some other source with confidence, but this issue is so fraught with tension, it is very difficult to find a neutral source.
With that being said, here’s the wikipedia.
So lots of Azerbaijanis have been tweeting about this. So much that there were over 1500 tweets in the last few hours alone.
You can see on the far left a lot of people who are not networked with anyone else but tweeted the word Khojaly. But then you can also see a number of clusters of people who do follow ecah other.
Top 10 Vertices, Ranked by Betweenness Centrality — so this means, who are the MOST NETWORKED people in the analysis:
Top Tweeters in Entire Graph — this is who tweeted the most:
Honestly, I don’t know anything about any of these accounts so I can’t contextualize much, but I figured that people would be interested.