The h-index, originally described in 2005 by it’s namesake Jorge Hirsch, is a measurement that aims
to describe both the scientific productivity and impact of the published work of a scientist or scholar.
The index is based on the set of the scientist's most cited papers and the number of citations that they
have received in other publications.
Therefore, in order to calculate it, only two pieces of information are required: the total Number of
Papers Published (Np) and the Number of Citations (Nc) for each paper.
According to Hirsch:
A scientist has index h, if h of his or her Np papers have at least h citations each,
and the other (Np − h) papers have no more than h citations each.
The ReTweet and Favorite h-indexes Last 100 Tweets are two newly inducted measurements which aim to describe
both the likeability and impact of the Tweets of a Twitter account. These indexes are based on the established
h-index measurement. They depend on the set of the account's created most ReTweeted or marked as Favorite Tweets
and the number of retweets or favorites that they have received from other accounts.
Therefore, in order to calculate them, only two pieces of information are required: In the case of ReTweet h-index the total Number of Tweets (Nt), which is set as the latest 100 account's tweets, and the Number of ReTweets (Nrt) for each tweet, while in the case of Favorite h-index the total Number of Tweets (Nt), which is similarly set as the latest 100 account's tweets, and the Number of marked as Favorite (Nf) for each tweet.
The ReTweet and Favorite h-indexes - Daily are two measurements which have the same aim as the ReTweet and Favorite h-indexes - Last 100 Tweets. In comparison with the latter measurements, they do not depend on the account's latest 100 tweets. They represent the estimated daily value of ReTweet and Favorite h-index during the lifespan of a Twitter account.
Influence Metric is a measurement that aims to describe both the importance and the impact of a account
in a social network. Its lowest value is "0", while the highest has no upper limit. The higher this value is, the
more impact has a account on the social network.
ReTweet Percentage is a value that indicates the percentage of the account's latest tweets which are ReTweets of other accounts' tweets.
Reply Percentage is a value that indicates the percentage of the account's latest tweets which are used as replies to other accounts' tweets.
Data Retrieved On indicates the latest date that both the account was searched through this system and the displayed details were retrieved.
Times Searched is a value that indicates the number of times that a specific account has been searched through this system.
Tweets Per Day is a value that indicates the number of tweets that the account creates on daily basis. This value is based on the rate that the latest 100 account's tweets were generated.
This functionality enables the detailed comparison of the listed Twitter accounts. In order to proceed, at least 2 Twitter accounts must be selected. The maximum numbers of accounts for comparison is 9.
On daily basis, millions of Twitter accounts post a vast number of tweets including numerous Twitter entities (mentions, replies, hashtags, photos, URLs). Many of these entities are used in common by many accounts. The more common entities are found in the messages of two different accounts, the more similar, in terms of content or interest, they tend to be. Towards this direction, we introduce a methodology for discovering and suggesting similar Twitter accounts, based entirely on their disseminated content in terms of Twitter entities used.
The InfluenceTracker service ("IT") provides the data on this website as a service to the public. The data is combined from multiple sources (Twitter, Wikipedia-DBpedia). The IT makes no warranty, representation, or guaranty as to the content, accuracy, timeliness, or completeness of the data provided by sources other than Twitter. The IT makes this data available on an "as is" basis and explicitly disclaims any representations and warranties, including, without limitation, the implied warranties of merchantability and fitness for a particular purpose. The IT shall assume no liability for any errors, omissions, or inaccuracies in this data.