Analyzing the Efficiency of Graph Algorithms in Social Network Analysis

Introduction

In today’s digital age, social networks have become an integral part of our lives. People are constantly connecting, sharing information, and forming relationships through various social media platforms. This vast interconnectedness has given rise to the field of social network analysis, which aims to understand the structure and dynamics of these networks. Graph algorithms play a crucial role in analyzing social networks, as they provide valuable insights into the relationships and interactions between individuals. However, the efficiency of these algorithms is of paramount importance, as the size and complexity of social networks continue to grow exponentially. This article aims to explore the efficiency of graph algorithms in social network analysis, both in terms of their computational complexity and their practical performance.