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Topical Impact Estimation (TIE) Score
We believe social influence is entirely dependent on context, something that other measures of influence that count only clicks, comments, followers and retweets fail to capture. For example, Justin Bieber, who has a perfect Klout score, may be highly influential when he tweets about music and pop culture. If he were to tweet about semiconductors however, he would get far fewer retweets, and command a level of influence less deserving of a perfect score.
The TIE score also includes visible, topic-related @mentions of someone’s handle. For example, visible mentions of @justinbieber that also contain the word “basketball” count towards his basketball TIE score. While these tweets may not originate from his account, they’re included because they demonstrate a strong association between his name, and a target conversation.
To illustrate, take a look at the example below.
Measuring Influence in Context:
Justin Bieber’s Potential Influence
- all TIE scores based on real data from 5/6 through 5/20
Bieber Tweets About Basketball
@justinbieber TIE Score – 23M
- Reaches 23M individuals

Bieber Tweets About Hotels
@justinbieber TIE Score – 22M
- Reaches 22M individuals

Beliebers Tweet About Fashion
@justinbieber TIE Score – 5.7M
- Reaches 5.7M individuals

Beliebers Tweet About Dentures
@justinbieber TIE Score – 164K

Bieber Tweets About Cloud Computing
@justinbieber TIE Score – 0
- Reaches zero individuals
