Game Theory Based Strategic and Dynamic Image Information Exchange in Complex Network Structures
| International Journal of Electronics and Communication Engineering |
| © 2026 by SSRG - IJECE Journal |
| Volume 13 Issue 1 |
| Year of Publication : 2026 |
| Authors : Kamarsu Apparao, Pavan Kumar Pagadala, Budati Anil Kumar, Akella Ramakrishna |
10.14445/23488549/IJECE-V13I1P106
How to Cite?
Kamarsu Apparao, Pavan Kumar Pagadala, Budati Anil Kumar, Akella Ramakrishna, "Game Theory Based Strategic and Dynamic Image Information Exchange in Complex Network Structures," SSRG International Journal of Electronics and Communication Engineering, vol. 13, no. 1, pp. 64-73, 2026. Crossref, https://doi.org/10.14445/23488549/IJECE-V13I1P106
Abstract:
This paper presents a generalized model aimed at analyzing the process of strategic image information exchange and dynamics within the complex network. Both computational and analytical tools, implemented with a framework, can be analyzed and their validity evaluated, which allows improving the framework. The primary instance provided in the paper is image information propagation in social networks, although the lessons gained can be transferred to the mechanics of strategic information sharing and dynamics in general. The study not only increases knowledge on the dissemination of image information but also gives practical ways through which the information flow in networks can be regulated. The article is an important addition to the network analysis and strategic management of information literature since it addresses the two dynamics comprehensively, and they can be applied in multiple applications beyond the limitation of the first case. The framework can be studied with the help of a combination of analytical and computational methods, and its validity can be evaluated with further refinement of the framework. The main example used in the paper is the flow of information in social networks, though the insights can be applied to the overall mechanics of strategic information exchange and dynamics in any other scenario. In addition to the enhanced understanding of information dissemination, this study implies the viable methods of controlling the flow of information within the network. A significant contribution that the article adds to the literature on network analysis and strategic management of information is that the authors consider both dynamics in a broader context, and they can be applied in a different context than the one presented in the article.
Keywords:
Game Theory, Rumor Diffusion, Social Networks, Misinformation, Strategic Interactions, Network Topology, Verification Strategies, Empirical Validation.
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