Online social networking has become a phenomenon in the last few years. The growing usage of social networks has put the vendors under a lot of pressure to efficiently pro-cess the users queries. In social networks like orkut, most of the queries access the immediate neighbors of the current node and neighbors of its neighbors. Existing graph parti-tioning approaches focus on reducing the number of inter server links, neglecting the query patterns. Our algorithm focuses on partitioning the graph so as to minimize the num-ber of servers to be accessed in order to process a query. Our results show that the proposed algorithm gives useful par-titioning of social networks, thereby reducing inter server accesses. 1
To answer search queries on a social network rich with user-generated content, it is desirable to gi...
Real world large scale networks exhibit intrinsic community structure, with dense intra-community co...
Efficiently operating on relevant data for users in large-scale online social network (OSN) systems ...
In this thesis, I study the problem of dynamic partitioning of online social networks (OSN). The pro...
Typical queries on online social network (OSN) applications are complex and require "feeds" to be co...
The real-world large scale networks motivate the need for parallel and distributed evaluation of net...
Distributed storage systems are the key infrastructures for hosting the user data of large-scale Onl...
This thesis investigates both how computational perspectives can improve our understanding of social...
Online Social Networks (OSN) face serious scalability chal-lenges due to their growth and popularity...
Graph partitioning is an essential task for scalable data management and analysis. The current parti...
Abstract—With a huge number of users and a very large scale of data, an Online Social Network (OSN) ...
In social networks such as Orkut, www.orkut.com, a large portion of the user queries refer to names ...
Social networks often require the ability to perform low latency graph computations in the user requ...
Nowadays there are many social media sites with a very large number of users. Users of social media ...
A telecom operator can get a lot of high quality intelligence by studying the social network of its ...
To answer search queries on a social network rich with user-generated content, it is desirable to gi...
Real world large scale networks exhibit intrinsic community structure, with dense intra-community co...
Efficiently operating on relevant data for users in large-scale online social network (OSN) systems ...
In this thesis, I study the problem of dynamic partitioning of online social networks (OSN). The pro...
Typical queries on online social network (OSN) applications are complex and require "feeds" to be co...
The real-world large scale networks motivate the need for parallel and distributed evaluation of net...
Distributed storage systems are the key infrastructures for hosting the user data of large-scale Onl...
This thesis investigates both how computational perspectives can improve our understanding of social...
Online Social Networks (OSN) face serious scalability chal-lenges due to their growth and popularity...
Graph partitioning is an essential task for scalable data management and analysis. The current parti...
Abstract—With a huge number of users and a very large scale of data, an Online Social Network (OSN) ...
In social networks such as Orkut, www.orkut.com, a large portion of the user queries refer to names ...
Social networks often require the ability to perform low latency graph computations in the user requ...
Nowadays there are many social media sites with a very large number of users. Users of social media ...
A telecom operator can get a lot of high quality intelligence by studying the social network of its ...
To answer search queries on a social network rich with user-generated content, it is desirable to gi...
Real world large scale networks exhibit intrinsic community structure, with dense intra-community co...
Efficiently operating on relevant data for users in large-scale online social network (OSN) systems ...