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P‐Rank: An indicator measuring prestige in heterogeneous scholarly networks
Author(s) -
Yan Erjia,
Ding Ying,
Sugimoto Cassidy R.
Publication year - 2011
Publication title -
journal of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1532-2890
pISSN - 1532-2882
DOI - 10.1002/asi.21461
Subject(s) - prestige , ranking (information retrieval) , rank (graph theory) , citation , scholarly communication , informetrics , computer science , citation analysis , homogeneous , bibliometrics , impact factor , productivity , data science , information retrieval , statistics , mathematics , political science , data mining , library science , publishing , economics , philosophy , linguistics , macroeconomics , combinatorics , law
Ranking scientific productivity and prestige are often limited to homogeneous networks. These networks are unable to account for the multiple factors that constitute the scholarly communication and reward system. This study proposes a new informetric indicator, P‐Rank, for measuring prestige in heterogeneous scholarly networks containing articles, authors, and journals. P‐Rank differentiates the weight of each citation based on its citing papers, citing journals, and citing authors. Articles from 16 representative library and information science journals are selected as the dataset. Principle Component Analysis is conducted to examine the relationship between P‐Rank and other bibliometric indicators. We also compare the correlation and rank variances between citation counts and P‐Rank scores. This work provides a new approach to examining prestige in scholarly communication networks in a more comprehensive and nuanced way.

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