Network modeling is an important approach in many fields in analyzing complex systems. Recently
new series of methods have emerged, by using Kronecker product and similar tools to model real systems. One of
such approaches is the multiplicative attribute graph (MAG) model, which generates networks based on category
attributes of nodes. In this paper we try to extend this model into a continuous one, give an overview of its
properties, and discuss some special cases related to real-world networks, as well as the influence of attribute
distribution and affinity function respectively.
HUANG Jiaxuan (黄嘉烜), JIN Xiaogang* (金小刚)
. Continuous Multiplicative Attribute Graph Model[J]. Journal of Shanghai Jiaotong University(Science), 2017
, 22(1)
: 87
-091
.
DOI: 10.1007/s12204-017-1805-9
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