Using Social Media Data to Map Mortar Shells Falling in Damascus, Syria

The paper analyzes the use of social media data in geographical information systems to map areas most affected by mortar shells capital Syria, Damascus, using geocoded and parsed systems. This describes a created algorithm collecting store from sites. For both NoSQL database save JSON format document an RDBMS is used other spatial types. A python script was written collect based on certain keywords related search. geocoding locate posts that normalize, standardize tokenize text developed. result developed diagram provided year 2013 2018 maps for shell falling locations Damascus. These layers give overview changing numbers falls or hot spot analysis city. Finally, can prove be useful when creating dynamic phenomena, example, shells’ location Syria. Moreover, provide easy, massive, timestamped which makes these phenomena easier study.