[PDF] Top 20 Detecting Communities in Social Networks through Modularity Maximization
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Detecting Communities in Social Networks through Modularity Maximization
... sized communities into one large sized ...on modularity maximization, thus, may consist of various This calls for a method which identifies every distinct community as a separate ...apply ... See full document
7
Iterative parallel genetic algorithm for detecting communities in social networks
... for detecting communities because the population based characteristic of GA allows the computation of fitness function of each individual in ...detect communities in large social ... See full document
5
Mining Overlapping Communities in Real-world Networks Based on Extended Modularity Gain
... Detecting communities plays a vital role in studying group level patterns of a social network and it can be helpful in developing several recommendation systems such as movie recommendation, book ... See full document
7
Detecting communities of directed networks via a local algorithm
... about social club ...the social relations among the Karate club members in one of American university and finally Zachary constructed the social network [13] among ...two communities under the ... See full document
9
Detecting Overlapping Communities in Dynamic Networks Using Label Propagation
... ABSTRACT: Social network analysis aims to analyze the relationship between the members of social group based on similar ...a social unit that shares something in common. Discovering the ... See full document
5
Finding network communities using modularity density
... complex networks exhibit a community structure, in which the modules correspond to actual functional ...these communities is a key challenge for ...traditional modularity, and that it can identify ... See full document
34
A Genetic Algorithm for Identifying Overlapping Communities in Social Networks Using an Optimized Search Space
... as social networks, autono- mous systems, and html structures, can be usefully rep- resented as graphs of edges and ...nodes. Communities, defined as subsets of nodes with more internal edges than ... See full document
9
A Perspective Analysis of Hidden Community Mining Methods in Large Scale Social Networks
... in social networking is just shift the networks from the traditional single network, user independent analysis to multi network user dependent and query based ...such communities in day to day ... See full document
6
A Query Mechanism for Influence Maximization on Specific Users in Social Networks
... 4. We show that the expected profit function under our proposed model maintains sub modularity under certain conditions, but no longer exhibits monotonicity, unlike the expected influence spread function. To ... See full document
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A Query Mechanism for Influence Maximization on Specific Users in Social Networks
... 4. We show that the expected profit function under our proposed model maintains sub modularity under certain conditions, but no longer exhibits monotonicity, unlike the expected influence spread function. To ... See full document
12
Efficient Classifier For Detecting Spam In Social Networks
... The Dataset used in this work is the Weibo Dataset from the popular social network in China. This dataset is used throughout the study for classifying the spammers and non- spammer. A large dataset containing ... See full document
6
Graph mining for the detection of overcrowding and waste of resources in public transport
... two networks (graphs) are constructed, one of which represents the bus system supply and the other represents ...these networks, the main objective in this phase is to find clues that indicate global ... See full document
11
Context based influence maximization with privacy protection in social networks
... a social network is composed of nodes and edges like general ...a social actor and the edge between two nodes represent the relations between them ...general social networks can be explained ... See full document
21
An experience of modularity through design
... of modularity have long been recognised in the shipbuilding ...of modularity as a design tool develops there is increased interest in capitalising on the differing life phase benefits of modularity ... See full document
8
Detecting Mass Protest through Social Media
... of social media usage, although comprehensive testing has not yet been possible due to the scarcity of event data on protest in Lviv or other Ukrainian regional ... See full document
21
A Comparative Study of Community Detection Methods in Social Network Analysis
... network, social network ...graphs, networks and other complex data structures could be ...in social media usage opens new opportunities and challenges to the ...active social media users who ... See full document
7
Malicious Spam Detecting In Online Social Networks as Facebook
... My Page Keeper could be a Facebook app designed for sensing malicious posts on Facebook. Once a Facebook user installs My Page Keeper, it sporadically crawls posts from the user’s wall and news feed. The key thing to ... See full document
5
Detecting Malicious Social Networks Applications using FRAppE
... Online Social Networks. Online social networks have stamped its power as one of the major information propagators on the ...one social networks service ... See full document
5
Result On Social Networking Application Evaluator Detecting Malicious Social Networking Applications
... S. Lee and J. Kim. [4] And Design and Evaluation of a Real-Time URL Spam Filtering Service. K. Thomas, C. Grier, J. Ma, V. Paxson, and D. Song. [5] Presents the mechanisms for detection of spam URLs on Twitter. In ... See full document
5
Social Media Mining: Major Concerns in Social Media Mining
... The idea behind sentiment analysis is basically to recognize potential drift in the society as it concerns the attitudes, observations, sentiment and the expectations of stakeholder or the people and to make necessary ... See full document
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