Two Types of Well Followed Users in the Followership Networks of Twitter

@article{Saito2014TwoTO,
  title={Two Types of Well Followed Users in the Followership Networks of Twitter},
  author={Kodai Saito and Naoki Masuda},
  journal={PLoS ONE},
  year={2014},
  volume={9}
}
In the Twitter blogosphere, the number of followers is probably the most basic and succinct quantity for measuring popularity of users. However, the number of followers can be manipulated in various ways; we can even buy follows. Therefore, alternative popularity measures for Twitter users on the basis of, for example, users' tweets and retweets, have been developed. In the present work, we take a purely network approach to this fundamental question. First, we find that two relatively distinct… 

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References

SHOWING 1-10 OF 29 REFERENCES

Two types of Twitter users with equally many followers

  • K. SaitoN. Masuda
  • Computer Science
    2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)
  • 2013
TLDR
The number of others that a user follows is as equally important as the number of followers when estimating the importance of a user in the Twitter blogosphere.

TwitterRank: finding topic-sensitive influential twitterers

TLDR
Experimental results show that TwitterRank outperforms the one Twitter currently uses and other related algorithms, including the original PageRank and Topic-sensitive PageRank, which is proposed to measure the influence of users in Twitter.

What is Twitter, a social network or a news media?

TLDR
This work is the first quantitative study on the entire Twittersphere and information diffusion on it and finds a non-power-law follower distribution, a short effective diameter, and low reciprocity, which all mark a deviation from known characteristics of human social networks.

Everyone's an influencer: quantifying influence on twitter

TLDR
It is concluded that word-of-mouth diffusion can only be harnessed reliably by targeting large numbers of potential influencers, thereby capturing average effects and that predictions of which particular user or URL will generate large cascades are relatively unreliable.

Measuring User Influence in Twitter: The Million Follower Fallacy

TLDR
An in-depth comparison of three measures of influence, using a large amount of data collected from Twitter, is presented, suggesting that topological measures such as indegree alone reveals very little about the influence of a user.

Understanding and combating link farming in the twitter social network

TLDR
It is shown that a simple user ranking scheme that penalizes users for connecting to spammers can effectively address the link farming problem in Twitter by disincentivizing users from linking with other users simply to gain influence.

Topical semantics of twitter links

TLDR
It is shown that the transitivity of topical relevance is better preserved over retweet links, and that retweeting a user is a significantly stronger indicator of topical interest than following him, as demonstrated by ranking users with two variants of the PageRank algorithm.

Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network

TLDR
It is found that, amongst content features, URLs and hashtags have strong relationships with retweetability and the number of followers and followees as well as the age of the account seem to affect retweetability, while, interestingly, thenumber of past tweets does not predict retweetability of a user's tweet.

The Directed Closure Process in Hybrid Social-Information Networks, with an Analysis of Link Formation on Twitter

TLDR
Here a formalization and methodology for studying this type of directed closure process is developed, and evidence for its important role in the formation of links on Twitter is provided.