Leveraging History for Faster Sampling of Online Social Networks

‏‏‎ ‎ 2020 Zhuojie ZhouNan ZhangGautam Das

With a vast amount of data available on online social networks, how to enable efficient analytics over such data has been an increasingly important research problem. Given the sheer size of such social networks, many existing studies resort to sampling techniques that draw random nodes from an online social network through its restrictive web/API interface... (read more)

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