English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Modern communication networks are inherently complex in nature. First of all,they have a large number of heterogeneous components. Secondly, theirconnectivity is extremely dynamic. Nodes can come and go, links can be removedand added over time. Traditional modeling and simulation techniques amalgamateor ignore such dynamics and therefore, are unable to represent them. Complexcommunication networks are therefore better modeled as mathematical structurescalled graphs. Modeling as graphs allows for the application of complextechniques such as various network based analysis techniques. While this is avery important and much needed skill for communication networks researchers andengineers, to the best of our knowledge, currently there is no resourcedescribing these details. In this paper, we give a concise but comprehensivereview of modeling complex communication networks as graphs. We also show howto apply complex social network analysis on these models besides ademonstration of formal modeling network dynamics.

Modeling and Analysis of Network Dynamics in Complex Communication Networks Using Social Network Methods