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On Physical Web for Social Networks

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1141))

Abstract

The article discusses the use of Physical Web approaches for the expansion of social networks. This implies the presentation of data from social networks in a real (physical) context, as well as the inverse task of using information about a real physical context in querying and analyzing data from social networks. First of all, mobile phones of social network users are considered as real objects that will be used both in data dissemination and in gathering information about the context. In this case, the purpose of consideration is to build a “natural” extension, when the implementation does not require the creation of a special type of social network entries. The general scheme or model of implementation is based on the minimization (or even complete absence) of requesting additional rights to access the social network, the absence of marks in the social network, and the use of basic functionality and standard protocols for mobile devices.

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References

  1. Sneps-Sneppe, M., Namiot, D.: On physical web models. In: 2016 International Siberian Conference on Control and Communications (SIBCON). IEEE (2016)

    Google Scholar 

  2. Namiot, D., Sneps-Sneppe, M.: On Bluetooth proximity models. In: Advances in Wireless and Optical Communications (RTUWO). IEEE (2016)

    Google Scholar 

  3. Kim, W., et al.: On target tracking with binary proximity sensors. In: Proceedings of the 4th International Symposium on Information Processing in Sensor Networks. IEEE Press (2005)

    Google Scholar 

  4. Sabatini, A.M., et al.: A low-cost, composite sensor array combining ultrasonic and infrared proximity sensors. In: Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots, vol. 3. IEEE (1995)

    Google Scholar 

  5. Han, M., Lee, Y.-K., Lee, S.: Comprehensive context recognizer based on multimodal sensors in a smartphone. Sensors 12(9), 12588–12605 (2012)

    Article  Google Scholar 

  6. Proximity Sensor Repair. https://proximity-sensor-repair-reset.ru.aptoide.com/. Accessed Apr 2019

  7. Namiot, D., Sneps-Sneppe, M.: Context-aware data discovery. In: 2012 16th International Conference on Intelligence in Next Generation Networks (ICIN). IEEE (2012)

    Google Scholar 

  8. Namiot, D., Sneps-Sneppe, M.: Geofence and network proximity. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART -2013. LNCS, vol. 8121, pp. 117–127. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40316-3_11

    Chapter  Google Scholar 

  9. Schneps-Schneppe, M., et al.: Wired smart home: energy metering, security, and emergency issues. In: 2012 IV International Congress on Ultra Modern Telecommunications and Control Systems. IEEE (2012)

    Google Scholar 

  10. Namiot, D., Sneps-Sneppe, M.: The physical web in smart cities. In: 2015 Advances in Wireless and Optical Communications (RTUWO). IEEE (2015)

    Google Scholar 

  11. Ibeacon Insidder. http://www.ibeacon.com/what-is-ibeacon-a-guide-to-beacons/. Accessed Apr 2019

  12. How EddyStone Works. https://www.beaconzone.co.uk/HowEddystoneWorks/. Accessed Apr 2019

  13. EddyStone vs iBeacon. https://blog.beaconstac.com/2016/08/eddystone-vs-physical-web-vs-ibeacon-why-eddystone-will-rule-the-beacon-space/. Accessed Apr 2019

  14. Namiot, D.: Context-aware browsing–a practical approach. In: 2012 Sixth International Conference on Next Generation Mobile Applications, Services and Technologies. IEEE (2012)

    Google Scholar 

  15. Namiot, D., Sneps-Sneppe, M., Skokov, O.: Context-aware QR codes. World Appl. Sci. J. 25(4), 554–560 (2013)

    Google Scholar 

  16. Lyardet, F., Szeto, D.W., Aitenbichler, E.: Context-aware indoor navigation. In: Aarts, E., et al. (eds.) AmI 2008. LNCS, vol. 5355, pp. 290–307. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-89617-3_19

    Chapter  Google Scholar 

  17. Rouillard, J.: Contextual QR codes. In: 2008 The Third International Multi-Conference on Computing in Global Information Technology (ICCGI 2008). IEEE (2008)

    Google Scholar 

  18. Namiot, D., Sneps-Sneppe, M.: On proximity-based information delivery. In: Vishnevskiy, V.M., Kozyrev, D.V. (eds.) DCCN 2018. CCIS, vol. 919, pp. 83–94. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99447-5_8

    Chapter  Google Scholar 

  19. Liu, J., Chen, C., Ma, Y.: Modeling and performance analysis of device discovery in Bluetooth low energy networks. In: Proceedings of the IEEE on Global Communications Conference (GLOBECOM), Anaheim, CA, USA, 3–7 December 2012, pp. 1538–1543 (2012)

    Google Scholar 

  20. Liu, J., Chen, C., Ma, Y.: Modeling neighbor discovery in Bluetooth low energy networks. IEEE Commun. Lett. 16, 1439–1441 (2012)

    Article  Google Scholar 

  21. Namiot, D., Sneps-Sneppe, M.: Customized check-in procedures. In: Balandin, S., Koucheryavy, Y., Hu, H. (eds.) NEW2AN/ruSMART -2011. LNCS, vol. 6869, pp. 160–164. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22875-9_14

    Chapter  Google Scholar 

  22. Makarychev, I.: Using physical web as an extension for social networks. Diploma thesis, Lomonosov Moscow State University (2019)

    Google Scholar 

  23. Jung, J., Kang, D., Bae, C.: Distance estimation of smart device using bluetooth. In: ICSNC 2013 - The Eighth International Conference on Systems and Networks Communications, pp. 13–18 (2013)

    Google Scholar 

  24. Stefanidis, A., Crooks, A., Radzikowski, J.: Harvesting ambient geospatial information from social media feeds. GeoJournal 78(2), 319–338 (2013)

    Article  Google Scholar 

  25. Faragher, R., Harle, R.: Location fingerprinting with Bluetooth low energy beacons. IEEE J. Sel. Areas Commun. 33(11), 2418–2428 (2015)

    Article  Google Scholar 

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Correspondence to Dmitry Namiot .

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Namiot, D., Sneps-Sneppe, M. (2019). On Physical Web for Social Networks. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2019. Communications in Computer and Information Science, vol 1141. Springer, Cham. https://doi.org/10.1007/978-3-030-36625-4_38

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  • DOI: https://doi.org/10.1007/978-3-030-36625-4_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36624-7

  • Online ISBN: 978-3-030-36625-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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