Figure 1
From: Virality Prediction and Community Structure in Social Networks
The importance of community structure in the spreading of social contagions.
(A) Structural trapping: dense communities with few outgoing links naturally trap information flow. (B) Social reinforcement: people who have adopted a meme (black nodes) trigger multiple exposures to others (red nodes). In the presence of high clustering, any additional adoption is likely to produce more multiple exposures than in the case of low clustering, inducing cascades of additional adoptions. (C) Homophily: people in the same community (same color nodes) are more likely to be similar and to adopt the same ideas. (D) Diffusion structure based on retweets among Twitter users sharing the hashtag #USA. Blue nodes represent English users and red nodes are Arabic users. Node size and link weight are proportional to retweet activity. (E) Community structure among Twitter users sharing the hashtags #BBC and #FoxNews. Blue nodes represent #BBC users, red nodes are #FoxNews users and users who have used both hashtags are green. Node size is proportional to usage (tweet) activity, links represent mutual following relations.
