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Big Data Spatial Analytics in Social Networks using Hadoop
| Content Provider | Semantic Scholar |
|---|---|
| Author | Al-Enezi, S. M. Mesbah, Saleh |
| Copyright Year | 2015 |
| Abstract | lot of applications in different fields generate huge data streams, known as Big Data. These kinds of applications needs special systems of data analytics in order to collect, store and process these big data files, like Hadoop framework. This paper aims to analyze social media big data to identify the widespread of certain keywords. A Java-Hadoop application is developed to analyze data obtained from Twitter social network. The application is used to identify number of people (Tweets) who mentioned specific medical keywords (e.g. Cancer) classified by location. The application is developed using Java Eclipse on CentOS Linux operating System and runs on Oracle Virtual Machine. The analysis aims to help in decision making according to the number of people tweeting about cancer or any related word (like tumor) and analyze them according to their cities all over the world. The results are used to create a GIS layer to spatially enhance the visualization of the obtained results. |
| Starting Page | 21 |
| Ending Page | 26 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| DOI | 10.5120/ijca2015906745 |
| Volume Number | 128 |
| Alternate Webpage(s) | https://www.ijcaonline.org/archives/volume128/number14/22942-22942-2015906745?format=pdf |
| Alternate Webpage(s) | https://doi.org/10.5120/ijca2015906745 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
