The Influence of Data Analysis on Social Network Behaviour and Optimization Strategies

DOI: https://doie.org/10.10399/JBSE.2025902901

Dhruvitkumar Patel, Priyam Vaghasia

Keywords:

Social Network Analysis, Data Mining, User Behavior, Optimization Strategies, Sentiment Analysis, Algorithmic Influence, Recommendation Systems, Graph Theory, Predictive Modeling

Abstract:

The rapid proliferation of social networks has created vast digital ecosystems driven by user behavior, content interaction, and algorithmic curation. Data analysis now plays a pivotal role in shaping user experience and optimizing platform performance. This research explores how data-driven techniques influence social network behavior and examines the strategies platforms employ for behavior optimization. Integrating social network analysis (SNA), machine learning, and predictive modeling, the study illustrates how personalized recommendations, community detection, and engagement metrics transform digital social structures. This paper also critiques associated ethical challenges, such as algorithmic bias, data privacy, and behavioral manipulation, proposing future research directions toward more transparent and equitable systems.

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