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Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet Rate in Twitter Network | #datascience

Presented at SocialCom 2010 conference Aug 21st 2010
luiy's insight:

Retweeting is the key mechanism for information
diffusion in Twitter. It emerged as a simple yet powerful way of
disseminating information in the Twitter social network. Even
though a lot of information is shared in Twitter, little is known
yet about how and why certain information spreads more widely
than others. In this paper, we examine a number of features that
might affect retweetability of tweets. We gathered content and
contextual features from 74M tweets and used this data set to
identify factors that are significantly associated with retweet rate.
We also built a predictive retweet model. We found that, amongst
content features, URLs and hashtags have strong relationships
with retweetability. Amongst contextual features, the number of
followers and followees as well as the age of the account seem to
affect retweetability, while, interestingly, the number of past
tweets does not predict retweetability of a user’s tweet. We
believe that this research would inform the design of sensemaking 

and analytics tools for social media streams.

 

Article in :  http://www-users.cs.umn.edu/~echi/papers/2010-socialcom/2010-06-25-retweetability-cameraready-v3.pdf

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How Videos Go Viral I #datascience #dataviz #virality

How Videos Go Viral I #datascience #dataviz #virality | e-Xploration | Scoop.it
luiy's insight:

What we did


We used Pulsar’s content-tracking technology to collect and analyse any tweet containing a link to the videos we were tracking and understand how they were shared on Twitter. What we’re studying is content diffusion and content discovery – the way videos are shared, recommended, and retweeted until they become viral phenomena. Of course people share content in other ways too – not least on Facebook – and YouTube search is in fact the second biggest search engine in the world, after Google. But Twitter provides the strongest dataset for analysis, and its role as a “hub” for curating content from across the whole social web makes it an apt case study.

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Los 13 #Memes del 2013 en México I #Cyberculture #Virality

Los 13 #Memes del 2013 en México I #Cyberculture #Virality | e-Xploration | Scoop.it
Ciudad de México, 20 de diciembre (SinEmbargo).– El recuento del año que está a punto de terminar también se puede narrar en imágenes que circularon po
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