Detecting Social Interactions in Working Environments Through Sensing Technologies
The knowledge about social ties among humans is important to optimize several aspects concerning networking in mobile social networks. Generally, ties among people are detected on the base of proximity of people. We discuss here how ties concerning colleagues in an office can be detected by leveraging on a number of sociological markers like co-activity, proximity, speech activity and similarity of locations visited. We present the results from two data gathering campaigns located in Italy and Spain.
KeywordsSocial network analysis Computational social science Smart office
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- 2.Vanini, S., et al.: Modeling social interactions in real work environments. In: Proc. 6th International Workshop on Hot Topics in Planet-Scale Measurement. ACM (2015)Google Scholar
- 7.Wyatt, D., et al.: Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science. ACM Trans. on Int. Systems and Technology (TIST) 2(1), 7 (2011)Google Scholar
- 10.Do, T.M.T., Gatica-Perez, D: Groupus: smartphone proximity data and human interaction type mining. In: 15th Sym. on Wearable Computers (ISWC) (2011)Google Scholar
- 11.Hall, E.T.: Proxemics: The study of man’s spatial relations (1962)Google Scholar
- 12.Banerjee, N., et al.: Virtual compass: relative positioning to sense mobile social interactions. In: Pervasive Computing, pp. 1–21. Springer, Heidelberg (2010)Google Scholar
- 13.Onnela, J.-P., Waber, B.N., et al.: Using sociometers to quantify social interaction patterns, Scientific Report 4 (2014)Google Scholar