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/235/1/012004Additional details
Identifiers
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