aspg-18-4042-1792025595 20261015005315 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Intelligent Systems and Internet of Things JISIoT 2769-786X 2690-6791 2026 18 2 Prapti Pandey PhD Research scholar Dr C V Raman University, Kota Bilaspur Chhattisgarh, India Vivek Shukla Dr C V Raman University Kota Bilaspur Chhattisgarh, India Rohit Miri Associate Professor, Chhattisgarh Swami Vivekanand Technical University, Bhilai, Chhattisgarh, India Praveen Chouksey Associate Professor, Department-Computer Science Engineering, CMR Engineering college EC Campus, medchal road Kandlakoya, India Parul Dubey Assistant Professor, Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), Pune, India Rohit Raja Associate Professor, Department of IT, Guru Ghasidas Vishwavidyalaya (A Central University) Bilaspur (Chhattisgarh), India 16.00 Normal false false false EN-US X-NONE AR-SA DefSemiHidden="false" 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Accent 2"/> Name="List Table 6 Colorful Accent 2"/> Name="List Table 7 Colorful Accent 2"/> Name="List Table 1 Light Accent 3"/> Name="List Table 6 Colorful Accent 3"/> Name="List Table 7 Colorful Accent 3"/> Name="List Table 1 Light Accent 4"/> Name="List Table 6 Colorful Accent 4"/> Name="List Table 7 Colorful Accent 4"/> Name="List Table 1 Light Accent 5"/> Name="List Table 6 Colorful Accent 5"/> Name="List Table 7 Colorful Accent 5"/> Name="List Table 1 Light Accent 6"/> Name="List Table 6 Colorful Accent 6"/> Name="List Table 7 Colorful Accent 6"/> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0in; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi;} Natural Language Processing (NLP) and Network Science were combined to study emotional contagion dynamics in social media networks. We simulated the diffusion of emotions through users on a synthetic interaction network using sentiment-labeled Twitter data and a graph-based model. We explored the relationship between graph metrics, including centrality and clustering coefficient, on emotion propagation and stability. The findings show that emotion intensity converges through the network and that both weak coupling of central nodes and moderate cluster structures dampen the spread of emotion. A community-level analysis reveals more alternative results, such as the fact that emotions differ in polarity between communities. Our work demonstrates a better understanding of how emotional behavior in online environments can be adjusted using semantic measures, which offer a means to characterize the relevance of information online and the interconnected relationships among emotionality. 2026 239 257 4042 https://creativecommons.org/licenses/by/4.0/ 10.54216/JISIoT.180217 https://americaspg.com/journal/18/article/4042 https://americaspg.com/storage/81756573194.pdf