"Since the authors tend to cite papers of their previous collaborators [1], it is natural to assume that the paper from a widely connected author has a larger probability to be cited by her coauthors. A simple measurement is to count the number of coauthors (NOCA) of each author present in a paper [23]."
Pseudocode:
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Statistics:
Check to see if there is indeed a relationship between Social and number of average citations.
[How specifically?]
Reference:
Chakraborty, T., Kumar, S., Goyal, P., Ganguly, N., & Mukherjee, A., (2014). Towards a Stratified Learning Approach to Predict Future Citation Counts, IEEE/ACM Joint Conference on Digital Libraries, pp. 351 - 360. doi: 10.1109/JCDL.2014.6970190
Social
"Since the authors tend to cite papers of their previous collaborators [1], it is natural to assume that the paper from a widely connected author has a larger probability to be cited by her coauthors. A simple measurement is to count the number of coauthors (NOCA) of each author present in a paper [23]."
Pseudocode:
--
Statistics:
Reference:
Chakraborty, T., Kumar, S., Goyal, P., Ganguly, N., & Mukherjee, A., (2014). Towards a Stratified Learning Approach to Predict Future Citation Counts, IEEE/ACM Joint Conference on Digital Libraries, pp. 351 - 360. doi: 10.1109/JCDL.2014.6970190