  This paper investigates the Twitter interaction patterns of journals from the
Science Citation Index (SCI) of Master Journal List (MJL). A total of 953,253
tweets extracted from 857 journal accounts, were analyzed in this study.
Findings indicate that SCI journals interacted more with each other but much
less with journals from other citation indices. The network structure of the
communication graph resembled a tight crowd network, with Nature journals
playing a major part. Information sources such as news portals and scientific
organizations were mentioned more in tweets, than academic journal Twitter
accounts. Journals with high journal impact factors (JIFs) were found to be
prominent hubs in the communication graph. Differences were found between the
Twitter usage of SCI journals with Humanities and Social Sciences (HSS)
journals.
