Internet based Social Networking Services

Social networking is the practice of increasing the social contacts by making connections through individuals via social media sites such as Facebook, Twitter, LinkedIn and Google+. So Social Network plays an important role as the Online platform for communication through Social Networking Services. This has lead to rise a question about the communication procedure of SNS. The effort have been made in the scholarly journals are to provide evidence that Social Networking Analysis. The purpose of the study is to discuss the architecture of Communication in Social networking site. In addition of this paper present the types of Social Network and it Component. This paper aims to provide specialized areas of Social Networking for future study

Epidemic outbreak prediction using machine learning models

In today's world,the risk of emerging and re-emerging epidemics have increased.The recent advancement in healthcare technology has made it possible to predict an epidemic outbreak in a region.Early prediction of an epidemic outbreak greatly helps the authorities to be prepared with the necessary medications and logistics required to keep things in control. In this article, we try to predict the epidemic outbreak (influenza, hepatitis and malaria) for the state of New York, USA using machine and deep learning algorithms, and a portal has been created for the same which can alert the authorities and health care organizations of the region in case of an outbreak. The algorithm takes historical data to predict the possible number of cases for 5 weeks into the future. Non-clinical factors like google search trends,social media data and weather data have also been used to predict the probability of an outbreak.Comment: 16 pages, 5 tables, 4 figure