Conjoining Speeds up Information Diffusion in Overlaying Social-Physical Networks

摘要: We study the diffusion of information in an overlaying social-physical network. Specifically, we consider following set-up: There is a physical network where spreads amongst people through conventional communication media (e.g., face-to-face communication, phone calls), and conjoint to this network, there are online social networks via web sites such as Facebook, Twitter, FriendFeed, YouTube, etc. quantify size critical threshold epidemics by assuming that diffuses according SIR epidemic model. One interesting finding even if no percolation individual networks, (i.e., epidemics) can take place also show, both analytically experimentally, fraction individuals who receive item (started from arbitrary node) significantly larger case, compared case disjoint. These findings reveal conjoining with have dramatic impact on speed scale diffusion.