ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 197-202, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W4-197-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Nov 2017
FAST SS-ILM: A COMPUTATIONALLY EFFICIENT ALGORITHM TO DISCOVER SOCIALLY IMPORTANT LOCATIONS
A. S. Dokuz1 and M. Celik2 1Nigde Omer Halisdemir University, Computer Engineering Department 51245 Nigde, Turkey
2Erciyes University, Computer Engineering Department 38039 Kayseri, Turkey
Keywords: Spatial social media mining, social important locations mining, data mining, Twitter Abstract. Socially important locations are places which are frequently visited by social media users in their social media lifetime. Discovering socially important locations provide several valuable information about user behaviours on social media networking sites. However, discovering socially important locations are challenging due to data volume and dimensions, spatial and temporal calculations, location sparseness in social media datasets, and inefficiency of current algorithms. In the literature, several studies are conducted to discover important locations, however, the proposed approaches do not work in computationally efficient manner. In this study, we propose Fast SS-ILM algorithm by modifying the algorithm of SS-ILM to mine socially important locations efficiently. Experimental results show that proposed Fast SS-ILM algorithm decreases execution time of socially important locations discovery process up to 20 %.
Conference paper (PDF, 997 KB)


Citation: Dokuz, A. S. and Celik, M.: FAST SS-ILM: A COMPUTATIONALLY EFFICIENT ALGORITHM TO DISCOVER SOCIALLY IMPORTANT LOCATIONS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 197-202, https://doi.org/10.5194/isprs-annals-IV-4-W4-197-2017, 2017.

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