Name
Abstract | ||
|---|---|---|
Smart cities are powered by the ability to self-monitor and respond to signals and data feeds from heterogeneous physical sensors. These physical sensors, however, are fraught with interoperability and dependability challenges. Moreover, they also cannot shed light on human emotions and factors that impact smart city initiatives. Yet everyday, millions of city dwellers share their observations, thoughts, feelings, and experiences about their city through social media updates. This paper describes how citizens can serve as human sensors in providing supplementary, alternate, and complementary sources of information for smart cities. It presents a methodology, based on a probabilistic language model, to extract the perceptions that may be relevant to smart city initiatives from social media updates. Geo-tagged tweets collected over a two-month period from New York City are used to illustrate the potential of social media powered human sensors. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2492517.2500240 | ASONAM |
Keywords | Field | DocType |
dependability challenge,heterogeneous physical sensor,human sensors,heterogeneous physical sensors,geo-tagged tweets,impact smart city initiative,smart city,human factors,human sensor,interoperability challenge,city dweller,human emotions,smart city initiatives,smart city initiative,social media,physical sensor,new york city,human sensing,town and country planning,city dwellers,social networking (online),human emotion,probabilistic language model,social media updates,probability,clustering | Data mining,Internet privacy,Dependability,Social media,Town and country planning,Computer science,Interoperability,Smart city,Probabilistic logic,Perception,Language model | Conference |
Citations | PageRank | References |
15 | 1.04 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Derek Doran | 1 | 170 | 21.22 |
| Swapna Gokhale | 2 | 39 | 3.43 |
| Aldo Dagnino | 3 | 194 | 21.07 |