Learn More
Urban sensing is a foundation of urban computing, collecting data in cities through ubiquitous computing techniques, e.g. using humans as sensors. In this paper, we propose a crowd-based urban sensing framework that maximizes the coverage of collected data in a spatio-temporal space, based on human mobility of participants recruited by a given budget. This(More)
Measuring and maximising the influence of individuals is the key to understand and leverage the multiplicative potential of viral spreading over social networks. Yet these have been recognized as problems requiring global structural information, and extremely difficult for the enormous size and complexity of online social networks. Based on the percolation(More)
Emergency medical service provides a variety of services for those in need of emergency care. One of the major challenges encountered by emergency service providers is selecting the appropriate locations for ambulance stations. Prior works measure spatial proximity under Euclidean space or static road network. In this paper, we focus on locating the(More)
Social networks constitute a new platform for information propagation, but its success is crucially dependent on the choice of spreaders who initiate the spreading of information. In this paper, we remove edges in a network at random and the network segments into isolated clusters. The most important nodes in each cluster then form a group of influential(More)
Real complex networks usually involve community structure. How innovation and new products spread on social networks which have internal structure is a practically interesting and fundamental question. In this paper we study the bootstrap percolation on a single network with community structure, in which we initiate the bootstrap process by activating(More)
  • 1