Social media and other crowdsourced applications have become a new form of infrastructure for communities in coping with disasters. The growing use of digital technologies in disasters provides unprecedented data for interdisciplinary researchers to study complex phenomena in the nexus of humans, disasters, and the built environment. This talk will highlight four interrelated studies focusing on understanding human interactions with the built environment during disaster-induced disruptions. The first study examines the emergence of influential users and their role in improving situational information dissemination about infrastructure disruptions in disasters. Various essential characteristics that give rise to emerging influential users are explained using twitter data from Hurricane Harvey in Houston. The second study describes an Online Network Reticulation (ONR) framework to examine four modalities (i.e., enactment, activation, reticulation, and network performance) in the evolution of online social networks to analyze the interplays among disruptive events in disasters, user activities, and information diffusion performance on social media. The third study focus on social sensing in detecting disruptions and analyzing evolutions of the situation about critical infrastructure. The study presents a graph-based method composed of data filtering, burst time-frame detection, content similarity calculation, graph analysis and situation evolution analysis. The last study presented in this talk will focus on a novel approach, called Social sensing for retrieving Disaster Impacts and Societal Considerations (SocialDISC). The study analyzes emotion signals (anger, fear, anticipation, trust, surprise, sadness, joy, and disgust) in the tweets to examine the societal impacts of community disruptions. The study shows that emotional signals can be indicators of people’s reaction or experience in dealing with disruptions in community infrastructure. In the final part of this talk, I will use the findings of the four studies to illustrate the interdisciplinary contributions at the intersection of civil infrastructure, network science, and disaster fields.