Social media has become an important channel for publicizing academic research. Employing a dataset of about 10 million tweets of 584,264 scientific papers from 2012 to 2018, this study investigates the differential diffusion of influential and non-influential papers (divided by Average journal impact factor percentile). We find that non-influential papers shows a diffusion trend with multiple rounds, sparse, short-duration and small-scale bursts. In contrast, the bursts of influential journals are characterized by a small number of persistent, dense and large-scale bursts. Influential papers are generally disseminated to many loosely connected communities, while non-influential papers are diffused to several densely connected communities.
翻译:利用2012年至2018年584 264份科学论文的约1 000万条推文数据集,本研究调查了有影响力和非渗透性论文的不同传播(按平均日平均影响系数百分位分类),我们发现,非渗透性论文显示了多发、少发、短发和小规模连发的传播趋势。相比之下,有影响力的期刊暴发的特点是数量不多的持久、密集和大规模连发。有影响力的论文通常传播到许多联系松散的社区,而无渗透性论文则传播到几个紧密相连的社区。