A study on Twitter user-follower network: a network based analysis

摘要: Substantial percent of global Internet users are now actively use Twitter. In recent times, Twitter has been experiencing explosive growth, attracting celebrities consequently a growing mass user coverage. Insights such social network aid researchers in understanding behavioral dynamics the society. Though there have attempts to study networks, they did not scale process networks on user-follower network. this paper we uncovered some essential properties complete The include degree distribution, connectivity, strength following relationships, clustering coefficient. Our investigations showed that follows power-law distribution. We found being connected relationships among is distributed nearly uniform 0.0 1.0. Nearly 90% possess `0' coefficient, which refers least possibility find communities addition listed properties, with high coefficient despite many low A sample validated manually for accuracy. validation proved representing similar interests. from work yields friend recommendations, target based advertisements, etc.