MVCWalker: Random Walk-Based Most Valuable Collaborators Recommendation Exploiting Academic Factors. Xia, F., Chen, Z., Wang, W., Li, J., & Yang, L. T. IEEE Trans. Emerging Topics Comput. (TETC), 2(3):364-375, 2014.
MVCWalker: Random Walk-Based Most Valuable Collaborators Recommendation Exploiting Academic Factors [link]Paper  bibtex   
@article{ dblp1946080,
  title = {MVCWalker: Random Walk-Based Most Valuable Collaborators Recommendation Exploiting Academic Factors},
  author = {Feng Xia and Zhen Chen and Wei Wang and Jing Li and Laurence T. Yang},
  author_short = {Xia, F. and Chen, Z. and Wang, W. and Li, J. and Yang, L. T.},
  bibtype = {article},
  type = {article},
  year = {2014},
  key = {dblp1946080},
  id = {dblp1946080},
  biburl = {http://www.dblp.org/rec/bibtex/journals/tetc/XiaCWLY14},
  url = {http://doi.ieeecomputersociety.org/10.1109/TETC.2014.2356505},
  journal = {IEEE Trans. Emerging Topics Comput. (TETC)},
  pages = {364-375},
  number = {3},
  volume = {2},
  text = {IEEE Trans. Emerging Topics Comput. (TETC) 2(3):364-375 (2014)}
}

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