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Viewing: Blog Posts Tagged with: Twitter, Most Recent at Top [Help]
Results 1 - 25 of 969
1. My tweets

  • Fri, 13:31: I currently can't tell if the kids playing down the street are having an amazing time or reenacting DELIVER US FROM EVIL.

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2. YALSAblog Tweets of the Week – August 29, 2014

A short list of tweets from the past week of interest to teens and the library staff that work with them.

Do you have a favorite Tweet from the past week? If so add it in the comments for this post. Or, if you read a Twitter post between August 29 and September 4 that you think is a must for the next Tweets of the Week send a direct or @ message to lbraun2000 on Twitter.

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3. My tweets

  • Thu, 02:25: RT @josswhedon: I watched a bunch of women get sliced up in video games and now I'm watching it on my twitter feed. @femfreq is just truth…

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4. My tweets

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5. YALSAblog Tweets of the Week: August 22, 2014

A short list of tweets from the past week of interest to teens and the library staff that work with them.

Do you have a favorite Tweet from the past week? If so add it in the comments for this post. Or, if you read a Twitter post between August 22 and August 28 that you think is a must for the next Tweets of the Week send a direct or @ message to lbraun2000 on Twitter.

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6. My tweets

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7. My tweets

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8. My tweets

  • Mon, 19:26: Looking back toward Sand Beach. Tourists everywhere. Many have interesting smells . http://t.co/AFidnUK603
  • Tue, 01:35: Best overheard quote of the day: With the amount of spandex and leather I own, I am shocked, just shocked, I am not a superhero.

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9. Special events and the dynamical statistics of Twitter

A large variety of complex systems in ecology, climate science, biomedicine, and engineering have been observed to exhibit so-called tipping points, where the dynamical state of the system abruptly changes. Typical examples are the rapid transition in lakes from clear to turbid conditions or the sudden extinction of species after a slightly change of environmental conditions. Data and models suggest that detectable warning signs may precede some, though clearly not all, of these drastic events. This view is also corroborated by recently developed abstract mathematical theory for systems, where processes evolve at different rates and are subject to internal and/or external stochastic perturbations.

One main idea to derive warning signs is to monitor the fluctuations of the dynamical process by calculating the variance of a suitable monitoring variable. When the tipping point is approached via a slowly-drifting parameter, the stabilizing effects of the system slowly diminish and the noisy fluctuations increase via certain well-defined scaling laws.

Based upon these observations, it is natural to ask, whether these scaling laws are also present in human social networks and can allow us to make predictions about future events. This is an exciting open problem, to which at present only highly speculative answers can be given. It is indeed to predict a priori unknown events in a social system. Therefore, as an initial step, we try to reduce the problem to a much simpler problem to understand whether the same mechanisms, which have been observed in the context of natural sciences and engineering, could also be present in sociological domains.

Courtesy of Christian Kuehn.
Courtesy of Christian Kuehn.

In our work, we provide a very first step towards tackling a substantially simpler question by focusing on a priori known events. We analyse a social media data set with a focus on classical variance and autocorrelation scaling law warning signs. In particular, we consider a few events, which are known to occur on a specific time of the year, e.g., Christmas, Halloween, and Thanksgiving. Then we consider time series of the frequency of Twitter hashtags related to the considered events a few weeks before the actual event, but excluding the event date itself and some time period before it.

Now suppose we do not know that a dramatic spike in the number of Twitter hashtags, such as #xmas or #thanksgiving, will occur on the actual event date. Are there signs of the same stochastic scaling laws observed in other dynamical systems visible some time before the event? The more fundamental question is: Are there similarities to known warning signs from other areas also present in social media data?

We answer this question affirmatively as we find that the a priori known events mentioned above are preceded by variance and autocorrelation growth (see Figure). Nevertheless, we are still very far from actually using social networks to predict the occurrence of many other drastic events. For example, it can also be shown that many spikes in Twitter activity are not predictable through variance and autocorrelation growth. Hence, a lot more research is needed to distinguish different dynamical processes that lead to large outburst of activity on social media.

The findings suggest that further investigations of dynamical processes in social media would be worthwhile. Currently, a main focus in the research on social networks lies on structural questions, such as: Who connects to whom? How many connections do we have on average? Who are the hubs in social media? However, if one takes dynamical processes on the network, as well as the changing dynamics of the network topology, into account, one may obtain a much clearer picture, how social systems compare and relate to classical problems in physics, chemistry, biology and engineering.

The post Special events and the dynamical statistics of Twitter appeared first on OUPblog.

0 Comments on Special events and the dynamical statistics of Twitter as of 8/27/2014 4:05:00 AM
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10. My tweets

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11. My tweets

  • Wed, 13:57: RT @hgparker: When we think of the ancient Greeks, we think philosophy, democracy, etc., but what about their unlimited zeal for whimsical …
  • Wed, 13:58: So, "The Ancient Greeks" is trending. If I tell my Classicist daughter she will start ranting things like, "THEY WERE NOT CALLED TOGAS!"
  • Wed, 13:58: I'm not going to tell her. I want a happy Wednesday. "The ancient Greeks"

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12. My tweets

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13. My tweets

  • Thu, 14:42: RT @repcleaver: #Ferguson is calling for answers over the death of #MikeBrown. I join the call, and I too am deeply disturbed by all I have…
  • Thu, 17:49: I read that it is super annoying when they constantly post pictures of the I animals. This makes… http://t.co/AK2QegD5Lh
  • Thu, 23:37: Let's say your book is 87,000 words. How many times can you use a version of the word "look?" 302 is too many, isn't it? *whimpers*

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14. YALSAblog Tweets of the Week – August 15, 2014

A short list of tweets from the past week of interest to teens and the library staff that work with them.

Do you have a favorite Tweet from the past week? If so add it in the comments for this post. Or, if you read a Twitter post between August 15 and August 21 that you think is a must for the next Tweets of the Week send a direct or @ message to lbraun2000 on Twitter.

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15. My tweets

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16. My tweets

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17. My tweets

  • Sat, 15:48: Randomly humming song "Raspberry Beret" while in the house. Get in car, song starts on radio. There could be a better use for psychic skills
  • Sat, 19:11: Gabby proves that Pyrs do indeed cuddle http://t.co/OqvmUQtiBx

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18. My tweets

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19. My tweets

  • Mon, 17:09: RT @malie129: @carriejonesbook Hi, nice to meet you. I'm trying to turn collab writing into a fun game. Playful, challenges creativity. pls…
  • Mon, 18:54: Overheard quote - people think I am so serious, but I just made up four songs changing the word heart for shart.
  • Mon, 18:54: RT @NYTArchives: 94 years ago today, with ratification of 19th amendment, US women gained federal right to vote http://t.co/dsIrpNlcPZ http…

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20. My tweets

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21. My tweets

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22. Social Media Marketing - Twitter is ‘Out of the Gate’ and on the Heels of Facebook

Twitter is getting ambitious. In fact, it’s recent changes show just how ambitious . . . and just how much they want to be like Facebook. A couple of recent changes include: The Twitter Header – you can now upload your own unique header on your account. I like this feature because if you take advantage of it (and use it right) your readers and visitors will quickly know what you’re about.

0 Comments on Social Media Marketing - Twitter is ‘Out of the Gate’ and on the Heels of Facebook as of 8/11/2014 6:38:00 AM
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23. My tweets

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24. My tweets

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25. My tweets

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