Twitter + Influencer (Retweet)

Want to be Retweeted? Large Scale Analytics on
Factors Impacting Retweet in Twitter Network
http://www2.parc.com/isl/members/hong/publications/socialcomputing2010.pdf

Retweeting is the key mechanism for information
diffusion in Twitter. It emerged as a simple yet powerful way of
disseminating useful information. Even though a lot of
information is shared via its social network structure 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 tools for

Identifying Influencers on Twitter
http://thenoisychannel.com/2011/04/16/identifying-influencers-on-twitter/

More Twitter Analysis: Influencers Don't Retweet
http://www.readwriteweb.com/archives/more_twitter_analysis_influencers_dont_retweet.php

Measuring User Influence in Twitter: The Million Follower Fallacy
http://an.kaist.ac.kr/~mycha/docs/icwsm2010_cha.pdf


Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter
http://research.microsoft.com/pubs/102168/TweetTweetRetweet.pdf