Modelling multi-relational data with special attention to the average number of collaborators as a variable in informetric distributions

被引:4
作者
Egghe, L [1 ]
Rousseau, R [1 ]
机构
[1] UNIV INSTELLING ANTWERP,B-2610 WILRIJK,BELGIUM
关键词
D O I
10.1016/0306-4573(96)00010-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We prove a theorem about the invariance of the Lotka function under a transformation which maps numbers of authors as variables to number of collaborators as variables. Moreover, we describe a general approach to incorporate the average number of collaborators in a production function, even when the conditions of the theorem are not satisfied. This leads to a general framework to model multi-relational data. Several cases are described where this general model can be applied. Copyright (C) 1996 Elsevier Science Ltd
引用
收藏
页码:563 / 571
页数:9
相关论文
共 17 条
[1]  
COLEMAN SR, 1992, J AM SOC INFORM SCI, V43, P639, DOI 10.1002/(SICI)1097-4571(199210)43:9<639::AID-ASI6>3.0.CO
[2]  
2-U
[3]   THE DUALITY OF INFORMETRIC SYSTEMS WITH APPLICATIONS TO THE EMPIRICAL LAWS [J].
EGGHE, L .
JOURNAL OF INFORMATION SCIENCE, 1990, 16 (01) :17-27
[4]  
Egghe L., 1990, Introduction to Informetrics: Quantitative Methods in Library, Documentation and Information Science
[5]   AGE AND SCIENTIFIC PRODUCTIVITY - DIFFERENCES BETWEEN FIELDS OF LEARNING [J].
KYVIK, S .
HIGHER EDUCATION, 1990, 19 (01) :37-55
[6]  
Lafouge T., 1995, INT J SCI INFORMETRI, V1, P57
[7]  
LITTLE AE, 1990, INFORMETRICS 89 90, P211
[8]  
NICHOLLS P, 1988, J AM SOC INFORM SCI, V39, P287
[9]  
NICHOLLS PT, 1987, J AM SOC INFORM SCI, V38, P443, DOI 10.1002/(SICI)1097-4571(198711)38:6<443::AID-ASI4>3.0.CO
[10]  
2-E