scholarly journals Capacity Control of Social Media Diffusion for Real-Time Analysis System

2017 ◽  
Vol E100.D (4) ◽  
pp. 776-784
Author(s):  
Miki ENOKI ◽  
Issei YOSHIDA ◽  
Masato OGUCHI
Keyword(s):  
Social Media ◽  
Real Time ◽  
Capacity Control ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Analysis System

scholarly journals Classification Connection of Twitter Data using K-Means Clustering

2019 ◽  
Vol 8 (6S4) ◽  
pp. 14-22
Keyword(s):  
Social Media ◽  
Real Time ◽  
Clustering Methods ◽  
Time Analysis ◽  
Data Set ◽  
Dynamic Data ◽  
Real Time Analysis ◽  
Twitter Data ◽  
Social Media Platforms ◽  
Insight Into

The rise of social media platforms like Twitter and the increasing adoption by people in order to stay connected provide a large source of data to perform analysis based on the various trends, events and even various personalities. Such analysis also provides insight into a person’s likes and inclinations in real time independent of the data size. Several techniques have been created to retrieve such data however the most efficient technique is clustering. This paper provides an overview of the algorithms of the various clustering methods as well as looking at their efficiency in determining trending information. The clustered data may be further classified by topics for real time analysis on a large dynamic data set. In this paper, data classification is performed and analyzed for flaws followed by another classification on the same data set.

scholarly journals A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media

2020 ◽  
Vol 17 (13) ◽  
pp. 4752 ◽  
Author(s):  
Rodrigo Martínez-Castaño ◽  
Juan C. Pichel ◽  
David E. Losada 
Keyword(s):  
Social Media ◽  
Real Time ◽  
Public Health Surveillance ◽  
Time Analysis ◽  
Social Media Data ◽  
Real Time Processing ◽  
Processing Elements ◽  
Real Time Analysis ◽  
Data Platform ◽  
Media Data

In this paper we propose a scalable platform for real-time processing of Social Media data. The platform ingests huge amounts of contents, such as Social Media posts or comments, and can support Public Health surveillance tasks. The processing and analytical needs of multiple screening tasks can easily be handled by incorporating user-defined execution graphs. The design is modular and supports different processing elements, such as crawlers to extract relevant contents or classifiers to categorise Social Media. We describe here an implementation of a use case built on the platform that monitors Social Media users and detects early signs of depression.

scholarly journals The CFHTLS real time analysis system: “optically selected GRB afterglows”

2006 ◽  
Vol 459 (2) ◽  
pp. 465-475 ◽  
Author(s):  
F. Malacrino ◽  
J.-L. Atteia ◽  
M. Boër ◽  
A. Klotz ◽  
C. Veillet ◽  
...  
Keyword(s):  
Real Time ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Analysis System
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