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Online Social Networks generate a prodigious wealth of real-time information at an incessant rate. In this paper we study the empirical data that crawled from Twitter to describe the topology and information spreading dynamics of Online Social Networks. We propose a measurement with three measures to state the efforts of users on Twitter to get their information spreading, based on the unique mechanisms for information retransmission on Twitter. It is noticed that small fraction of users withdoi:10.1371/journal.pone.0183290 pmid:28902906 pmcid:PMC5597198 fatcat:d3bts2cghjfuzp2ro5utp46iqq