This is actually bad information visualisation: the most rt'd people are actually pushed to the side in favor of the least rt'd people, only because it creates the 'image' of a 'square'.
Good infoviz stays true to what actually happened, and in this case would have given the most rt'd people centre stage and let the least rt'd drift out of the picture entirely.
nice video. you ever considered adding a "gravity" modifier, helping those heavy joints to "fall" into the center and push the small conversations to the side? i think that might help to get a clearer view of the growth / connection.
La comunicación hace que nazcan estos organismos sociales aparentemente de la nada... Estaría padre ver el diagrama ahora (mucho mas disperso supongo)
I do like the visual for the obvious annoying spammer on the right side of the video at around 1:35. And you can tell because very few of the people they tweed'd ended up doing any retweets. They probably have him/her on ignore or something.
@AirRichter The "obvious annoying spammer" is Andy Carvin, and all people connected to him are connected because they actually retweeted him. I would call him very influent, not a spammer.
This looks neat and all, but this 'research' involves 3 research teams? Seriously? It's basic social networking theory. This has been the same story on 'viral' emails and other things since forever ago, and even happened with plain old phone calls to a smaller degree (general patterns, when graphed, look the same -- just they were smaller). Twitter just has the benefit of corporate interests who like to see it's name being linked with other popular/emotional public events. (ie, marketing)
@AirRichter This video is only a very small part of the ongoing research in these teams - it took only some hours to create it. For other projects, you can check, for example, the Sociopatterns project, or Truthy at Indiana University, for analysis on information spreading and also analysis of patterns in face-to-face contacts to understand information and viral spreading.
Nodes are twitter users, and links appear between the nodes A and B when B @zappullae retweeted a message of A containing the hashtag #jan25. The location is done with a force-directed algorithm, which works by attracting two nodes with a link, and repulsing the others.
@Squeeonline yes there are many questions, the fact is that this data was captured nearly by surprise. I guess that a deeper analysis will be considered in the near future.
Interesting, but the framerate/quality drops drastically in the later (most interesting) portions. Try doing a pre-render at native 720p and uploading afterwards; it looks like a screencap video.
Some Creative Commons music wouldn't hurt either! ;)
they look like sperm.
143mark6275 1 month ago
hyyyyggggyyyy
MrJayson786 1 month ago
cyber revolution is on! Watch out! it is epidemic!
happinesson 3 months ago
This has been flagged as spam show
Watch,,'Movies.".Online~;.Here;",
WWW.STREAMMOVIES1.TK
COPY.``THE,'.URL`;'ABOVE'``
LupeTemple 9 months ago
This is actually bad information visualisation: the most rt'd people are actually pushed to the side in favor of the least rt'd people, only because it creates the 'image' of a 'square'.
Good infoviz stays true to what actually happened, and in this case would have given the most rt'd people centre stage and let the least rt'd drift out of the picture entirely.
poletheconvideo 11 months ago
@poletheconvideo
Youtube: Arab Spring Prediction
jimiydoorshamelech 4 months ago
nice video. you ever considered adding a "gravity" modifier, helping those heavy joints to "fall" into the center and push the small conversations to the side? i think that might help to get a clearer view of the growth / connection.
vjaypan 1 year ago
Me sigue pareciendo biológico el asunto es increible
mikealexaldana 1 year ago
1 dislike ---> Mubarak
jfelixsouza 1 year ago 3
Hope paints such a beautiful picture =)
Looks very decentralized and spontaneous. No one person could have done this.
Bl4cKeN1nG 1 year ago
Actually reminds me of the people converging on Tahrir Square and the building passion...like
pierrelombard 1 year ago
What's this? Flock of birds? :)
JOSEPHKORSSIA 1 year ago 10
Its weird ! ! !
They Must do more of this and broad ! ! !
JEIWILBER 1 year ago
the twitter user on the right must be very popular since he/she got lots of retweets!!! =)thumps up for this graph!
marielytgg 1 year ago
La comunicación hace que nazcan estos organismos sociales aparentemente de la nada... Estaría padre ver el diagrama ahora (mucho mas disperso supongo)
mikealexaldana 1 year ago
21st century Art.
renatomassaro 1 year ago
I do like the visual for the obvious annoying spammer on the right side of the video at around 1:35. And you can tell because very few of the people they tweed'd ended up doing any retweets. They probably have him/her on ignore or something.
AirRichter 1 year ago
@AirRichter The "obvious annoying spammer" is Andy Carvin, and all people connected to him are connected because they actually retweeted him. I would call him very influent, not a spammer.
panisson 1 year ago 4
This looks neat and all, but this 'research' involves 3 research teams? Seriously? It's basic social networking theory. This has been the same story on 'viral' emails and other things since forever ago, and even happened with plain old phone calls to a smaller degree (general patterns, when graphed, look the same -- just they were smaller). Twitter just has the benefit of corporate interests who like to see it's name being linked with other popular/emotional public events. (ie, marketing)
AirRichter 1 year ago
@AirRichter This video is only a very small part of the ongoing research in these teams - it took only some hours to create it. For other projects, you can check, for example, the Sociopatterns project, or Truthy at Indiana University, for analysis on information spreading and also analysis of patterns in face-to-face contacts to understand information and viral spreading.
panisson 1 year ago
I can't understand this from the describition can someone explain simple?
safwat1990 1 year ago
@safwat1990 every dot is a twitt every dot than conects is a retwitt, yo can see what happends during the time.
Dosagu 1 year ago 4
@Dosagu Every dot is a Twitter user. Each time a user retweets other user's tweet using the hashtag #jan25, a link appears in the network.
panisson 1 year ago
Amazing!
urbanjahvier 1 year ago
Cool. Could you please discuss the formula used (in general terms)?
FoodOrFail 1 year ago
Wow!!!! Fascinating!!!! Fastastic this video!!!!
jnts 1 year ago
(sorry damn double clicking!)
cultware 1 year ago
This has been flagged as spam show
3.38 is the same length as David Bowie's Heroes. It makes a great soundtrack
cultware 1 year ago
3.38 is the same length as David Bowie's Heroes. It makes a great soundtrack
cultware 1 year ago 3
I love data visualization and this one clearly shows the power of Twitter. Great work André. Which country next? Which hashtag? Which revolution?
fredericsidler 1 year ago
Nodes are twitter users, and links appear between the nodes A and B when B @zappullae retweeted a message of A containing the hashtag #jan25. The location is done with a force-directed algorithm, which works by attracting two nodes with a link, and repulsing the others.
@MehtaMezhan yes it's a screencast of Gephi!
@Squeeonline yes there are many questions, the fact is that this data was captured nearly by surprise. I guess that a deeper analysis will be considered in the near future.
GephiOrg 1 year ago
@GephiOrg thanks. its very interesting representation
zappullae 1 year ago
Very cool! Can you explain a little more about how the data is represented.
Is each Node a tweet and the line segments a re-tweet of the connecting node?
Are the segments directional?
How are the locations of the nodes represented spatially, geo location, tweet time, etc specific?
zappullae 1 year ago
Interesting, but the framerate/quality drops drastically in the later (most interesting) portions. Try doing a pre-render at native 720p and uploading afterwards; it looks like a screencap video.
Some Creative Commons music wouldn't hurt either! ;)
MehtaMezhan 1 year ago
Wonder how many views will come from /. ?
Also is it fair to use only the one hashtag? Is it a fair representation? Very interesting video anyway.
Squeeonline 1 year ago