Impact of mutual influence while ranking authors in a co-authorship network

Online bibliographic databases are providing significant resources to conduct analysis of academic social networks.We believe that work of an author is always influenced by work of his or her co-authors. In this study, we investigatethe impact of productivity and quality of work of an author’s co-authors on his or her ranking along with his owncontribution. We propose mutual influence (MI) based ranking method, which ranks authors based on (1) Publicationsof an author, along with impact of publications of his or her co-authors, (2) Normalized author position based Citationsweight, which is calculated from the citations received by an author with respect to position of his or her name in theco-authors list, (3) MINCC that combines the impact of both factors. A series of experiments has been conducted andresults show that proposed approach has capability to ranks authors in a significant way.

[1]  Ying Ding,et al.  Topic-based PageRank on author cocitation networks , 2011, J. Assoc. Inf. Sci. Technol..

[2]  Dalibor Fiala,et al.  Time-aware PageRank for bibliographic networks , 2012, J. Informetrics.

[3]  M. de Rijke,et al.  Formal models for expert finding in enterprise corpora , 2006, SIGIR.

[4]  Ruoming Jin,et al.  A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search , 2008, 2008 Eighth IEEE International Conference on Data Mining.

[5]  L. Egghe.  An improvement of the h-index: the g-index , 2006 .

[6]  Hui Fang,et al.  Fairly sharing the credit of multi-authored papers and its application in the modification of h-index and g-index , 2011, Scientometrics.

[7]  Ying Ding,et al.  Discovering author impact: A PageRank perspective , 2010, Inf. Process. Manag..

[8]  Ali Daud,et al.  Topic-based heterogeneous rank , 2015, Scientometrics.

[9]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[10]  Ying Ding,et al.  Applying weighted PageRank to author citation networks , 2011, J. Assoc. Inf. Sci. Technol..

[11]  C. Lee Giles,et al.  Ranking experts using author-document-topic graphs , 2013, JCDL '13.

[12]  Jie Tang,et al.  ArnetMiner: extraction and mining of academic social networks , 2008, KDD.

[13]  Ruoming Jin,et al.  Topic level expertise search over heterogeneous networks , 2010, Machine Learning.

[14]  Juan-Zi Li,et al.  Temporal expert finding through generalized time topic modeling , 2010, Knowl. Based Syst..

[15]  Hongyuan Zha,et al.  Co-ranking Authors and Documents in a Heterogeneous Network , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

[16]  Menghui Li,et al.  Quantifying the influence of scientists and their publications: distinguishing between prestige and popularity , 2011, ArXiv.

[17]  A. V. Senthil Kumar,et al.  Time heuristics ranking approach for recommended queries using search engine query logs , 2014 .

[18]  Johan Bollen,et al.  Co-authorship networks in the digital library research community , 2005, Inf. Process. Manag..

[19]  Cassidy R. Sugimoto,et al.  P-Rank: An indicator measuring prestige in heterogeneous scholarly networks , 2011, J. Assoc. Inf. Sci. Technol..

[20]  Ronald Rousseau,et al.  In those fields where multiple authorship is the rule, the h-index should be supplemented by role-based h-indices , 2010, J. Inf. Sci..

[21]  Charu C. Aggarwal,et al.  Co-author Relationship Prediction in Heterogeneous Bibliographic Networks , 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

[22]  Andrzej Bargiela,et al.  Rational Research model for ranking semantic entities , 2011, Inf. Sci..

[23]  Ying Ding,et al.  Applying centrality measures to impact analysis: A coauthorship network analysis , 2009, J. Assoc. Inf. Sci. Technol..

[24]  Ronald Rousseau,et al.  The Adapted Pure h-Index , 2008 .

[25]  Maarten de Rijke,et al.  Non-local evidence for expert finding , 2008, CIKM '08.

[26]  Ali Daud,et al.  Finding Rising Stars in Social Networks , 2013, DASFAA.

[27]  Ronald Rousseau,et al.  The pure h-index: calculating an author’s h- index by taking co-authors into account , 2007 .

[28]  Leo Egghe,et al.  Mathematical theory of the h- and g-index in case of fractional counting of authorship , 2008, J. Assoc. Inf. Sci. Technol..

[29]  Ying Ding,et al.  Measuring scholarly impact in heterogeneous networks , 2010, ASIST.

[30]  Rajeev Motwani,et al.  The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.

[31]  Ali Daud,et al.  Using time topic modeling for semantics-based dynamic research interest finding , 2012, Knowl. Based Syst..

[32]  Ming Zeng,et al.  Ranking Scientific Articles by Exploiting Citations, Authors, Journals, and Time Information , 2013, AAAI.

[33]  See-Kiong Ng,et al.  Searching for Rising Stars in Bibliography Networks , 2009, DASFAA.

[34]  Ç. Şekercioğlu.  Quantifying Coauthor Contributions , 2008, Science.

[35]  James Caverlee,et al.  PageRank for ranking authors in co-citation networks , 2009, J. Assoc. Inf. Sci. Technol..

[36]  J. E. Hirsch,et al.  An index to quantify an individual's scientific research output , 2005, Proc. Natl. Acad. Sci. USA.

[37]  Sergei Maslov,et al.  Promise and Pitfalls of Extending Google's PageRank Algorithm to Citation Networks , 2008, The Journal of Neuroscience.