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Social Media Big Data have transformed the scale of exploratory analysis on the web and offered new means of performing tasks that were not feasible before. Over a half century ago, Milgram showed that the average number of intermediaries (called the "degrees of separation") between two individuals is
The advance of social computing study is grown very fast to the extents that influence many aspects of our daily life. One of those aspects is implementation in marketing / advertising. We are always looking for the effective way to understand our market, but the absent of powerful metrics has cause some problem. The
synchronized with Twitter messages by specific keywords like “rain” or/and “landslide” to analyse the relationship between environmental phenomena and social responses in heavy rain conditions in the Hiroshima region. The results were analysed and visualized through a geovisualization technique to
In general, social network service (SNS) has many difficulties in collecting, storing, and analyzing the data in real time because it has the characteristic of big data generated quickly by combining structured and unstructured data. In this paper, we propose a scalable visualization technique that can be applied to
information, and social media such as build development and dengue symptom using system API, SOAP and others. The data aggregator will aggregate the data from three different types of data such as structured, semi-structured and unstructured data to be stored into the semi-structured database such as MongoDB and NoSQL. The data
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.