 The data collected during the US election campaign, contain original tweets from 822 troll accounts which have been identified as such , based on archive data released by Twitter related to state-sponsored trolls' campaigns. Then, we constructed a very large interaction graph of 9.3 million nodes and 169.9 million edges , where using graph analysis techniques  along with a game-theoretic centrality measure  , we quantify the influence of all Twitter accounts on the overall information exchange as is defined by the retweet cascades.
<clarity>  The data collected during the US election campaign, contain original tweets from 822 troll accounts which have been identified as such , based on archive data released by Twitter related to state-sponsored trolls' campaigns. Then, we constructed a very large interaction graph of 9.3 million nodes and 169.9 million edges , where using graph analysis techniques  along with a game-theoretic centrality measure  , we quantify the influence of all Twitter accounts on the overall information exchange as is defined by the retweet cascades.
 The data collected during the US election campaign, contain original tweets from 822 troll accounts which have been identified as such by Twitter itself. We construct and analyse a very large interaction graph of 9.3 million nodes and 169.9 million edges , where using graph analysis techniques along with a game-theoretic centrality measure , we quantify the influence of all Twitter accounts on the overall information exchange as is defined by the retweet cascades.