Add to ORKGUsing social networking services is becoming more popular day by day. The websites of the social networks like face-book currently are among the most popular internet services just after giant portals such as Yahoo, MSN and search engines like Google. One of the main problems in analyzing these networks is the prediction of relationships between people in the network. The purpose of this paper is to forecast the friendship of a person with a new person using exist-ing data on Flickr website accurately. In this paper, we achieved about 90 % percent correct prediction with regards to the results which are obtained by using data mining methods
Online social networks are highly dynamic and sparse. One of the main problems in analyzing these ne...
With more and more new social network services appearing, the volumes of data they created are conti...
On-line social networks (OSNs) often contain many different types of relationships between users. Wh...
Social media and social networks have already woven themselves into the veryfabric of everyday life....
Social Media is a term that encompasses the platforms of New Media, but also implies the inclusion o...
Abstract: As social networks grow; large systems tend to form a network between thousands of network...
Social Network depicts the relationship like friendship, common interests etc. among various individ...
Recent advances in data mining and machine learning techniques are focused on exploiting location da...
Abstract—The objective of this paper is to study on the most famous social networking site Facebook ...
Today, online social networks are very popular due to the possibility of creating relationships betw...
Online Social Networks (OSNs) have become prevalent in people’s daily life. Facebook, Twitter, and I...
Alongside the continuous development of Internet technologies, traditional social\ud networks are ru...
Link prediction in online social networks intends to predict users who are yet to establish their ne...
In a social network, the topology of the network grows through the formation of the link. the connec...
Link prediction is an estimation problem that has drawn a great deal of attention in recent years. I...
Online social networks are highly dynamic and sparse. One of the main problems in analyzing these ne...
With more and more new social network services appearing, the volumes of data they created are conti...
On-line social networks (OSNs) often contain many different types of relationships between users. Wh...
Social media and social networks have already woven themselves into the veryfabric of everyday life....
Social Media is a term that encompasses the platforms of New Media, but also implies the inclusion o...
Abstract: As social networks grow; large systems tend to form a network between thousands of network...
Social Network depicts the relationship like friendship, common interests etc. among various individ...
Recent advances in data mining and machine learning techniques are focused on exploiting location da...
Abstract—The objective of this paper is to study on the most famous social networking site Facebook ...
Today, online social networks are very popular due to the possibility of creating relationships betw...
Online Social Networks (OSNs) have become prevalent in people’s daily life. Facebook, Twitter, and I...
Alongside the continuous development of Internet technologies, traditional social\ud networks are ru...
Link prediction in online social networks intends to predict users who are yet to establish their ne...
In a social network, the topology of the network grows through the formation of the link. the connec...
Link prediction is an estimation problem that has drawn a great deal of attention in recent years. I...
Online social networks are highly dynamic and sparse. One of the main problems in analyzing these ne...
With more and more new social network services appearing, the volumes of data they created are conti...
On-line social networks (OSNs) often contain many different types of relationships between users. Wh...