Social Network Signal Processing for Cyber-Physical Systems
| Autor: | P. Seetharamu, Tanvir Al Amin, Elizabeth K. Bowman, Lance M. Kaplan, Jemin George, Shiguang Wang, Tarek Abdelzaher, Hongwei Wang, Prasanna Giridhar, Heather Roy |
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| Rok vydání: | 2017 |
| Předmět: |
Signal processing
Physical media Modality (human–computer interaction) Social network Computer science business.industry Event (computing) Cyber-physical system 02 engineering and technology Sensor fusion Machine learning computer.software_genre Identification (information) Human–computer interaction 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business computer |
| DOI: | 10.1016/b978-0-12-803801-7.00011-0 |
| Popis: | This chapter demonstrates the utility of exploiting signal processing techniques common to physical sensing modalities in order to reconstruct conditions of the physical world from social network feeds. We show that, as a sensing modality, social sensing is not unlike acoustic, vibration, or magnetic sensing. A mathematical analogy is presented between social networks and physical media that allows adaptation of signal processing algorithms derived for the latter to solve novel challenges observed in the former. The chapter describes examples of event identification and tracking using Twitter and Instagram data, and presents the underlying analytical foundations. |
| Databáze: | OpenAIRE |
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