This paper explores the role of online social networking in modern life, focusing on how communities form to share information and promote products through viral marketing. It introduces a new metric called ProfileRank, designed to identify influential users within social networks based on their popularity and activity characteristics. The authors evaluate ProfileRank against traditional metrics like betweenness centrality and PageRank, using both synthetic and real-life datasets, and propose a unified metric that combines all three for improved performance in identifying influential users.