This paper explores the use of social structures in Delay Tolerant Networks (DTNs) to improve data forwarding efficiency. The authors propose BUBBLE, a social-based forwarding algorithm that leverages the heterogeneity of human mobility and community structures. BUBBLE selects high-centrality nodes and community members as relays for messages, significantly improving forwarding efficiency compared to oblivious and PROPHET algorithms. The paper evaluates BUBBLE using real-world datasets and demonstrates its effectiveness in decentralized environments. Key contributions include the detection of community structures, the development of a distributed BUBBLE algorithm, and empirical evaluations showing improved delivery ratios and reduced costs. The results highlight the potential of combining social network insights with DTN routing to enhance data dissemination in dynamic and decentralized networks.This paper explores the use of social structures in Delay Tolerant Networks (DTNs) to improve data forwarding efficiency. The authors propose BUBBLE, a social-based forwarding algorithm that leverages the heterogeneity of human mobility and community structures. BUBBLE selects high-centrality nodes and community members as relays for messages, significantly improving forwarding efficiency compared to oblivious and PROPHET algorithms. The paper evaluates BUBBLE using real-world datasets and demonstrates its effectiveness in decentralized environments. Key contributions include the detection of community structures, the development of a distributed BUBBLE algorithm, and empirical evaluations showing improved delivery ratios and reduced costs. The results highlight the potential of combining social network insights with DTN routing to enhance data dissemination in dynamic and decentralized networks.