***** To join INSNA, visit http://www.insna.org ***** I believe it shouldn't be hard to gather and analyze such cascades with standard tools like Python. For example, "21 Receipt for Mining Twitter" which is currently a part of the second edition of "Mining the Social Web" has receipts for getting origins of retweets and users, who retweeted it: https://github.com/ptwobrussell/Recipes-for-Mining-Twitter I have a little different experience/research questions in this regards. Two of my mostly retweeted posts were about materials that actually anyone could see: I posted a comment on "The Majority Illusion" article from MIT Technology Review and some stuff from R-Bloggers I believe. The most weird part was that my tweet about "majority illusion" started getting second wave of retweets after weeks or maybe even a month from its publication. I did the literature review on SNA of Twitter data and found only a handful of relevant articles on virality, diffusion and cascades in Twitter: - Romero, Daniel M, Brendan Meeder, and Jon Kleinberg. 2011. “Differences in the Mechanics of Information Diffusion across Topics.” In Proceedings of the 20th International Conference on World Wide Web - WWW ’11, 695. New York, New York, USA: ACM Press. doi:10.1145/1963405.1963503. http://portal.acm.org/citation.cfm?doid=1963405.1963503. - Jansen, Bernard J, and Mimi Zhang. 2009. “Twitter Power : Tweets as Electronic Word of Mouth.” Journal of the American Society for Information Science and Technology 60 (11): 2169–88. doi:10.1002/asi. - Gonzalez-Bailon, S., J. Borge-Holthoefer, and Y. Moreno. 2013. “Broadcasters and Hidden Influentials in Online Protest Diffusion.” American Behavioral Scientist 57 (7): 943–65. doi:10.1177/0002764213479371. http://abs.sagepub.com/cgi/doi/10.1177/0002764213479371. - Wu, Shaomei, Jake M. Hofman, Winter a. Mason, and Duncan J. Watts. 2011. “Who Says What to Whom on Twitter.” Proceedings of the 20th International Conference on World Wide Web - WWW ’11. New York, New York, USA: ACM Press, 705. doi:10.1145/1963405.1963504. http://portal.acm.org/citation.cfm?doid=1963405.1963504. So, it's still a fruitful area of research, I guess. Best, Alex. вторник, 19 января 2016 г. пользователь Valdis Krebs написал: > ***** To join INSNA, visit http://www.insna.org ***** > > Folks, > > If anyone is studying the viral diffusion of messages/tweets on > Twitter/onine networks, they might be interested in one of my tweets. > > Normally when one tweets, if there will be a viral explosion, it happens > quickly and continues quickly and dies quickly. My tweet, started slowly > and keeps going slowly — but, keeps going nonetheless. Still being > actively retweeted after 3 days. Seems to be crossing country borders in > the process. Kind of like the Turtle vs. the Hare > > Here is the link to the tweet(which is from my business Twitter account), > not sure if there are tools to track one tweet over time? Some type of > snowball sampling? > > https://twitter.com/orgnet/status/688412071818579968 > > Also, for a comparison… I tweeted almost the exact same message (added > “the”) from my personal Twitter account. > > It was not as viral as the one from the business account… it stopped > spreading after a few days. Yet, I have 3x as many followers on my personal > account than my biz account. > > The link to the similar tweet is here: > https://twitter.com/ValdisKrebs/status/688229707972644864 > > Both tweets travelled (via RT=retweet) past my network horizon(Friedkin, > 1983), something that Watts found very rare in his early studies of online > diffusion networks(2012). > > Timing of tweets seems to be very important… who is paying attention at > the time of the tweet? And then… who is paying attention to them? > > Would be interested in any research that comes of this. > > Valdis > > *Valdis Krebs* > Orgnet, LLC > Twitter: @orgnet > http://orgnet.com > http://thenetworkthinkers.com > http://en.wikipedia.org/wiki/Valdis_Krebs > > _____________________________________________________________________ > SOCNET is a service of INSNA, the professional association for social > network researchers (http://www.insna.org). To unsubscribe, send an email > message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET > in the body of the message. _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.