Mining Community in Mobile Social Network

Geographic Community Analysis of Mobile Social Network

Location-based Mobile Social Networks (MSNs) are becoming increasingly popular given the success of Online Social Networks (OSNs), such as Facebook and MySpace, and recent availability of GPS-embedded mobile platforms, such as Apple iPhones and Google Android phones. MSNs extend existing OSNs by allowing a user to know where her friends are and to meet new people nearby who share her interests....

Parallel Community Mining in Social Network using Map-reduce

The mobile social network plays an essential role as the spread of information and relationship. This paper proposes a parallel algorithm based on MapReduce for finding community in a mobile social network where individuals communicate with one another using mobile phones with register identification information and analyzes the behavior of the communication patterns with taking the actual call...

Statistical Approach of Social Network in Community Mining

The popularity of social networking on the web and the explosive combination with data mining techniques open up vast and so far unexplored opportunities for social intelligence on the Web. A network community is a special sub-network that contains a group of nodes sharing similar linked patterns. A social network can be defined as a graph G = (V, E), where V = {v 1 , v 2 , v 3 , ....,v n } is ...

An Identification Algorithm for Evolutionary Community on Mobile Social Network

In mobile social network, detecting community structure reduces a complexity of the network consisted of large datasets, which is important to manage and understand components of the network. Link Community Detection (LCD) is a method that finds out community structure using similarity between two neighboring edges and partition density. Communities detected by this method can have overlapping ...

Mining Social-Network Graphs