Published September 1, 2017 | Version v1
Journal article

A Direct Proof of Significant Directed Random Walk

  • 1. Soft Computing and Data Mining Centre, Faculty of Computer Sciences and Information Technology, Universiti Tun Hussein Onn Malaysia (Malaysia)
  • 2. Faculty of Computing, Universiti Teknologi Malaysia, Skudai (Malaysia)

Description

This paper is presented to disclose the relationship between weight and connectivity of nodes. An equation is formed to enhance the connectivity of nodes in directed graph via weigh. With implementation of references data, the adjacency matrix is further enhances to increases the accessibility of nodes via vector. The evolution of random walk is disclosed in this paper as well. Significant directed random walk will be used to prove the importance of weight in this paper. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/235/1/012004

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
235
Journal Issue
1
Journal Page Range
[5 p.]
ISSN
1757-899X

Conference

Title
2. international conference on automation, control and robotics engineering
Acronym
CACRE 2017
Dates
28-30 Jun 2017
Place
Prague (Czech Republic)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50050746
Subject category
S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
DIAGRAMS; EQUATIONS; GRAPH THEORY; RANDOMNESS; WEIGHT
Descriptors DEC
INFORMATION; MATHEMATICS