Authors : Ritwik Rajam

Volume/Issue : Volume 5 - 2020, Issue 12 - December

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3omdgiv

Abstract : Online social networks can be found universally from conversation websites like MSN, blogs such as Myspace to social media such as YouTube and second life. Among them, there is one interesting type of online social networks i.e. online dating network that is growing fast indeed. There are different types of Online dating websites and these are a type of social networking as in these social sites, the users who are using the sites are connected through various message paths that includes sending of messages, emails or sometimes this might include chats. Online dating services offer various advantages such as enormous amount of choice for a user, secure channel, less embarrassment when asking personal questions. A new relationship type of social networks - online dating - is gaining popularity. With a large scale collection of users, dating network is weighed down with selections of their perfect companions. Recommendation tactics can be utilized to beat this disadvantage. However, traditional recommendation methods do not work effectively for online dating networks where the dataset is sparse and large, and a two way matching is required. Now days, Time has also perceived the excessive rise in demand of the online dating business. Hence, in this project we mainly focus on an online dating network from social network analysis point of view