Abstract
The paper citation network is a traditional social medium for the
exchange of ideas and knowledge. In this paper we view citation networks
from the perspective of information diffusion. We study the #structural features of the information paths through the citation networks of
publications in computer science and analyze the impact of various
citation choices on the subsequent impact of the article. We find that
citing recent papers and papers within the same #scholarly community garners a slightly larger number of citations on average. However, this
correlation is weaker among well cited papers implying that for high
impact work citing within one's field is of lesser importance. We also
study differences in information flow for specific subsets of citation
networks: books versus conference and journal articles, different areas
of computer science, and different time periods. Information diffusion is the communication of knowledge over time among
members of a social system. In order to analyze information diffusion,
one needs to study the overall information flow and #individual information cascades in the networks. Although much recent attention has
been focused on new forms of collective content generation and
filtering, such as blogs, wikis, and #collaborative tagging systems,
there is a well-established social medium for aggregating and generating
knowledge published scholarly work.
For more Medical Research Articles on BJSTR
Information Processing & Information Diffusion in Computing Citation Networks by Ashok Koujalagi in BJSTR
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