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Social Network Analysis for Big Data

Social Network Analysis for Big Data Introduction As the digital world continues to evolve, social networks generate vast amounts of interconnected data. Social network analysis (SNA) is a powerful technique for extracting valuable insights from these networks. With big data, SNA enables us to uncover patterns, relationships, and behaviors within large-scale social networks. This article provides a comprehensive guide on performing social network analysis for big data, covering the fundamentals, techniques, tools, and best practices. 1. Understanding Social Network Analysis (SNA) Social network analysis (SNA) is the process of examining the social structure and relationships within a network of individuals or entities. It involves analyzing nodes (individuals or entities) and edges (connections between nodes) to uncover patterns, clusters, and other network properties. 2. Techniques for Analyzing Large-scale Social Networks When analyzing large-scale social netwo