Detection of Damage and Failure Events of Critical Public Infrastructure using Social Sensor Big Data

Iris Tien, Aibek Musaev, David Benas, Ameya Ghadi, Seymour Goodman, Calton Pu

2016

Abstract

Public infrastructure systems provide many of the services that are critical to the health, functioning, and security of society. Many of these infrastructures, however, lack continuous physical sensor monitoring to be able to detect failure events or damage that has occurred to these systems. We propose the use of social sensor big data to detect these events. We focus on two main infrastructure systems, transportation and energy, and use data from Twitter streams to detect damage to bridges, highways, gas lines, and power infrastructure. Through a three-step filtering approach and assignment to geographical cells, we are able to filter out noise in this data to produce relevant geolocated tweets identifying failure events. Applying the strategy to real-world data, we demonstrate the ability of our approach to utilize social sensor big data to detect damage and failure events in these critical public infrastructures.

References

  1. Caragea, C., McNeese, N., Jaiswal, A., Traylor, G., Kim, H., Mitra, P., Wu, D., Tapia, A.H., Giles, L., Jansen, B.J., Yen, J., 2011. Classifying text messages for the Haiti earthquake. In ISCRAM 7811, Lisbon, Portugal.
  2. Cheng, Z., Caverlee, J., Lee, K., 2010. You are where you tweet: A content-based approach to geo-locating Twitter users. In CIKM'10, Toronto, Canada.
  3. Google, https://developers.google.com/maps/documentation/geocoding/intro, accessed on 2/5/2016.
  4. Guy, M., Earle, P., Ostrum, C., Gruchalla, K., Horvath, S., 2010. Integration and dissemination of citizen reported and seismically derived earthquake information via social network technologies. In IDA'10, Tuscon, Arizona.
  5. Hecht, B., Hong, L., Suh, B., Chi, E.H., 2011. Tweets from Justin Bieber's heart: The dynamics of the “location” field in user profiles. In CHI 7811, Vancouver, Canada.
  6. Imran, M., Elbassuoni, S., Castillo, C., Diaz, F., Meier, P., 2013. Extracting information nuggets from disasterrelated messages in social media. In ISCRAM 7813, Baden-Baden, Germany.
  7. Manning, C.D., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S.J., and McClosky, D., 2014. The Stanford CoreNLP Natural Language Processing Toolkit. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55-60, Baltimore, Maryland.
  8. Musaev, A., Wang., D., Pu, C., 2014a. LITMUS: Landslide detection by integration multiple sources. In ISCRAM 7814, University Park, Pennsylvania.
  9. Musaev, A., Wang., D., Cho, C.A., Pu., C., 2014b. Landslide detection service based on composition of physical and social information services. In ICWS 7814, Anchorage, Alaska.
  10. Palen, L., Vieweg, S., Liu, S., Hughes, A., 2009. Crisis in a networked world: Features of computer-mediated communication in the April 16, 2007 Virginia Tech event. Social Science Computer Review Special Issue on E-Social Science.
  11. Sakaki, T., Okazaki, M., Matsuo, Y., 2010. Earthquake shakes Twitter users: real-time event detection by social sensors. In WWW 7810, Raleigh, North Carolina.
  12. Sutton, J., Palen, L., Sklovaski, I., 2008. Backchannels on the front lines: Emergent use of social media in the 2007 Southern California fires. In ISCRAM 7808, Washington, DC.
  13. Vieweg, S., Palen, L., Liu, S., Hughes, A., Sutton, J., 2008. Collective intelligence in disaster: Examination of the phenomenon in the aftermath of the 2007 Virginia Tech shooting. In ISCRAM 7808, Washington, DC.
  14. Vieweg, S., Hughes, A.L., Starbird, K., Palen, L., 2010. Microblogging during two natural hazards events: What Twitter may contribute to situational awareness. In CHI 7810, Atlanta, Georgia.
Download


Paper Citation


in Harvard Style

Tien I., Musaev A., Benas D., Ghadi A., Goodman S. and Pu C. (2016). Detection of Damage and Failure Events of Critical Public Infrastructure using Social Sensor Big Data . In Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD, ISBN 978-989-758-183-0, pages 435-440. DOI: 10.5220/0005932104350440


in Bibtex Style

@conference{iotbd16,
author={Iris Tien and Aibek Musaev and David Benas and Ameya Ghadi and Seymour Goodman and Calton Pu},
title={Detection of Damage and Failure Events of Critical Public Infrastructure using Social Sensor Big Data},
booktitle={Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD,},
year={2016},
pages={435-440},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005932104350440},
isbn={978-989-758-183-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD,
TI - Detection of Damage and Failure Events of Critical Public Infrastructure using Social Sensor Big Data
SN - 978-989-758-183-0
AU - Tien I.
AU - Musaev A.
AU - Benas D.
AU - Ghadi A.
AU - Goodman S.
AU - Pu C.
PY - 2016
SP - 435
EP - 440
DO - 10.5220/0005932104350440