دانلود رایگان مقاله بررسی طبقات ثروتمند و متوسط در توییتر

abstract

Online social networking (OSN) websites such as Twitter and Facebook are known to have a wide heterogeneity in the popularity of their users, which is counted typically in terms of the number of followers or friends of the users. We add to the large body of work on information diffusion on online social networking websites, by studying how the behavior of the small minority of very popular users on Twitter differs from that of the bulk of the population of ordinary users, and how these differences may impact information diffusion. Our findings are somewhat counter intuitive. We find that on aggregate metrics such as the tweeting volume and degree of participation on different topics, popular users and ordinary users seem similar to each other. We also find that although popular users do seem to command an influential position in driving the popularity of topics on Twitter, in practice they do not affect growth rates of user participation and the causality of popular users driving event popularity is hard to establish. Our observations corroborate the findings of other researchers who show that user popularity in terms of number of followers does not translate into driving event popularity, but that event popularity may be driven by extraneous factors to do with the importance of the event.

5. Discussion and conclusion 440 The main insights we have gained through this study are outlined 441 below: 1. Section 4.1: the volume of tweets by popular vs. ordinary users is not distinguishable from each other. 2. Section 4.2: within the growth phase, popular users tweet earlier than ordinary users by approximately 10% of the event growth du- ration. 3. Sections 4.3 and 4.4: popular users engage with an event for 13% 448 of the event lifetime longer than ordinary users, and tend to drop 449 off up to 14% less across different event phases than ordinary 450 users. However, their intensity of participation is not very differ- ent. 4. Section 4.5: the participation of popular users does not seem to influence the event growth rate. 5. Section 4.6: popular users write more original tweets than retweets by a factor of 60:40, while for ordinary users this ratio is almost the inverse. 6. Section 4.6: the tweets by popular users are retweeted 6 times more than tweets by other users. 7. Section 4.7: popular users are the quickest to retweet tweets by a factor of 8 than other users. 8. Section 4.7: popular users show a preference to retweet tweets by less popular users sooner, probably those who are their friends.