Abstract
Basing on the journal database indexed by CSTPC from year 2003 to 2006, we abstract these journals and their citing or cited correlations into journal citation networks. It appears to be a highly-clustering and small-world network, which are common characteristics in complex networks. Motifs, first proposed in biological networks, are subgraphs with high occurrence to be found tightly relate with local network structures. We present the idea of using motifs to analyze the entire citation pattern and develop trend on journal networks in recent years. We also address the problem of network communities with the granularity of three-node motifs, on which it is discovered of much differences from in and between communities.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
