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Structural Analysis of Large Networks: Observations and Applications
2018
Network data (also referred to as relational data, social network data, real graph data) has become ubiquitous, and understanding patterns in this data has become an important research problem. We investigate how interactions in social networks are formed and how these interactions facilitate diffusion, model these behaviors, and apply these findings to real-world problems. We examined graphs of size up to 16 million nodes, across many domains from academic citation networks, to campaign
doi:10.1184/r1/6723230.v1
fatcat:gcdivthfjfa4rdxpf4d3rconfy