Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/23196
DC Field | Value | Language |
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dc.contributor.author | Bogojeska, Aleksandra | en_US |
dc.contributor.author | Filiposka, Sonja | en_US |
dc.contributor.author | Mishkovski, Igor | en_US |
dc.contributor.author | Kocarev, Ljupcho | en_US |
dc.date.accessioned | 2022-09-29T12:16:13Z | - |
dc.date.available | 2022-09-29T12:16:13Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/23196 | - |
dc.description.abstract | The recent emergence of the new representation of interconnected layers of networks, called multiplex networks, refocused the research in complex networks. The analysis of these networks requires redefinition of the dynamical processes and topological properties present in one-layered graphs. The main focus in this work is the relation between consensus and synchronization defined on multiplex graphs and edge correlation of the graph layers. We show numerically that the information of edge correlation between layers offers substantial insights in the complex multiplex structure, thus, contributing to simplified and faster analysis and design of multiplex graphs with desired consensus or synchronization properties. | en_US |
dc.relation.ispartof | Int. J. Complex Systems in Science | en_US |
dc.subject | multiplex networks, consensus, synchronization, edge overlap, correlation | en_US |
dc.title | Observing Dynamical Processes in Multiplex Networks by Using Edge Correlation | en_US |
dc.type | Journal Article | en_US |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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Observing_Dynamical_Processes_in_Multipl.pdf | 316.76 kB | Adobe PDF | View/Open |
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