The study examines the communication patterns of millions of mobile phone users to explore the structure and tie strengths in a society-wide communication network. The researchers found a coupling between interaction strengths and the network's local structure, where social networks are robust to the removal of strong ties but fall apart after a phase transition if weak ties are removed. This coupling significantly slows down the diffusion process, leading to dynamic trapping of information within communities. The results show that both weak and strong ties are ineffective for information diffusion, as most news reaches individuals through intermediate-strength ties. The findings have implications for modeling processes in social networks and suggest that communication networks are better suited for local information processing than global information transfer.The study examines the communication patterns of millions of mobile phone users to explore the structure and tie strengths in a society-wide communication network. The researchers found a coupling between interaction strengths and the network's local structure, where social networks are robust to the removal of strong ties but fall apart after a phase transition if weak ties are removed. This coupling significantly slows down the diffusion process, leading to dynamic trapping of information within communities. The results show that both weak and strong ties are ineffective for information diffusion, as most news reaches individuals through intermediate-strength ties. The findings have implications for modeling processes in social networks and suggest that communication networks are better suited for local information processing than global information transfer.