“

When it comes to sadness and disgust, Rui and co found very little correlation between users. Sadness and disgust do not easily spread through the network in this way. They found a higher correlation among users who tweeted joyful messages.

But the highest correlation by far was among angry users. Rui and co say anger strongly influences the neighbourhood in which it appears, spreading on average by about 3 hops or degrees. “Anger has a surprisingly higher correlation than other emotions,” they say.

That has significant implications. Not least of these is that anger is more likely to spread quickly and broadly across a network.

”

– http://www.technologyreview.com/view/519306/most-influential-emotions-on-social-networks-revealed/