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A mobile trusted path system based on social network data

Published: 03 November 2015 Publication History

Abstract

Social networks provide rich data sources for analyzing people journeys in urban environments. This paper introduces a trusted path system that helps users to find their routes based in two criteria: low crime rate and no theft report. These data are obtained from two complementary sources: geo-tagged tweets from the social network Twitter, and an official database given by the Police of Mexico City. Recommended paths are computed automatically from these data sources by a complementary application of social mining techniques, Bayes algorithm and an adaptation of the Dijkstra algorithm. This system can be also used to identify the probability that an event occurs in specific locations and times. A proof of concept of the system is illustrated through two example scenarios.

References

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H. Su, K. Zheng, J. Huang, H. Jeung, L. Chen and X. Zhou. Crowdplanner: A crowd-based route recommendation system. In Data Engineering (ICDE), IEEE 30th International Conference, pp. 1144--1155, March 2014.
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V. Arnaboldi, M. Conti, F. Delmastro, G. Minutiello and L. Ricci. Droidopppath_nder: A context and social-aware path recommender system based on opportunistic sensing. In 14th IEEE International Symposium and Workshops on World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 1--3, June 2013.
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M. Nagarajan, K. Gomadam, A. P. Sheth, A. Ranabahu, R. Mutharaju and A. Jadhav. Spatio-temporal-thematic analysis of citizen sensor data: Challenges and experiences. In 10th International Conference on Web Information Systems Engineering, pp. 539--1553, 2009.
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V. Ceikut and C. Jensen. Routing service quality? Local driver behavior versus routing services. In 4th International Conference on Mobile Data Management, pp. 97--106, 2013.
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Huili Zhang, Yinfeng Xu and Xingang Wen. 2015. Optimal shortest path set problem in undirected graphs. J. Comb. Optim. 29, 3 (April 2015), 511--530. DOI=10.1007/s10878-014-9766-5 http://dx.doi.org/10.1007/s10878-014-9766-5
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Cited By

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  • (2024)Exploring Spatio-temporal Dynamics: A Historical Analysis of Missing Persons Data in Mexico, Revealing Patterns and TrendsWeb and Wireless Geographical Information Systems10.1007/978-3-031-60796-7_3(41-52)Online publication date: 9-May-2024
  • (2021)ASTRO: Reducing COVID-19 Exposure through Contact Prediction and AvoidanceACM Transactions on Spatial Algorithms and Systems10.1145/34904928:2(1-31)Online publication date: 30-Dec-2021
  • (2019)CAPRIO: Context-Aware Path Recommendation Exploiting Indoor and Outdoor Information2019 20th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM.2019.000-7(431-436)Online publication date: Jun-2019

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  1. A mobile trusted path system based on social network data

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      cover image ACM Conferences
      SIGSPATIAL '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems
      November 2015
      646 pages
      ISBN:9781450339674
      DOI:10.1145/2820783
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Publication History

      Published: 03 November 2015

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      Author Tags

      1. outdoor navigation
      2. recommender systems
      3. trusted paths

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      SIGSPATIAL '15 Paper Acceptance Rate 38 of 212 submissions, 18%;
      Overall Acceptance Rate 257 of 1,238 submissions, 21%

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      View all
      • (2024)Exploring Spatio-temporal Dynamics: A Historical Analysis of Missing Persons Data in Mexico, Revealing Patterns and TrendsWeb and Wireless Geographical Information Systems10.1007/978-3-031-60796-7_3(41-52)Online publication date: 9-May-2024
      • (2021)ASTRO: Reducing COVID-19 Exposure through Contact Prediction and AvoidanceACM Transactions on Spatial Algorithms and Systems10.1145/34904928:2(1-31)Online publication date: 30-Dec-2021
      • (2019)CAPRIO: Context-Aware Path Recommendation Exploiting Indoor and Outdoor Information2019 20th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM.2019.000-7(431-436)Online publication date: Jun-2019

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