[PDF] Top 20 Uncovering complex overlapping pattern of communities in large-scale social networks
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Uncovering complex overlapping pattern of communities in large-scale social networks
... significantly overlapping communities, and established the accuracy and effectiveness of PCMA in detecting communities with significant over- laps, as well as slightly overlapping and disjoint ... See full document
16
Clone Detection on Large Scale Social Networks Including Wireless Sensor Network
... study large scale social networks for characterizing ...heterogeneous networks, algorithm parallelization and optimization for network analysis, and graph partitioning and clustering ... See full document
6
Link transmission centrality in large-scale social networks
... connected communities to keep the network connected [55], and play an important role in disseminating information glob- ally [43, ...of social networks, they are responsible for emerging clustered ... See full document
16
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 Study on Community Detection Based on Seed Nodes over Social Network
... ABSTRACT: Large-scale social networks emerged rapidly in the recent ...The social network has become more ...detect communities over the social ... See full document
9
Uncovering nodes that spread information between communities in social networks
... a large score with BVA but are given minimal importance with be- ...of communities with promoted content, the ability to saturate a user with fewer connections may be advantageous, and worth consid- ering ... See full document
17
A parallel self-organizing community detection algorithm based on swarm intelligence for large scale complex networks
... a complex network represents and has signifi- cance to a wide range of ...include overlapping community structure detection, large scale network analysis, dynamic changing of analyzed network ... See full document
10
Structural and functional analytics for community detection in large-scale complex networks
... of complex technological and social ...level overlapping community ...for social and technological complex networks with overlapping ...sub-community’ overlapping ... See full document
28
Distributed Data Analysis For Large-Scale Social Networks
... [3] T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko,R. Silverman, and A. Y. Wu, “An efficient k-means clustering algorithm: Analysis and implementation,” IEEE Transactions on Pattern Analysis and Machine ... See full document
5
Detecting Overlapping Communities in Dynamic Networks Using Label Propagation
... monitor communities whose evolution generates huge real-time data streams, such as the internet or on-line social ...dynamic networks called as LabelRankT [9] which is an online distributed algorithm ... See full document
5
A parallel self-organizing overlapping community detection algorithm based on swarm intelligence for large scale complex networks
... local communities and ...local communities and vertexes and then evolves communities of each local ...changed communities be in ...local communities, and then merges contained ... See full document
51
An Automated Approach to Requirement Elicitation Using Stakeholder Recommendation and Prediction Analysis
... a large community of users can be gathered and filtered for information and patterns, a process known as collaborative ...filter large sets of data for information and ... See full document
5
Social Media Mining: Major Concerns in Social Media Mining
... other social network sites. Organizations and people relying on the Social Media for information and opinion of other users on diverse subject matters Online Social Network (OSN) mining has been a ... See full document
9
A community merger of optimization algorithm to extract overlapping communities in networks
... A previous study [26] has illustrated that the vertex simi- larity measures can enhance community detection, but how to combine the vertex similarity with the actual edge weight is our first research point. Focusing on ... See full document
12
User Behavior to Identify Malicious Activities in Large Scale Social Networks
... Solutions to this form compile and use historical data for certain users by keeping tabs on their activities over a given period of the time [3], [14], [22], [20]. Tracking is made possible given that the interactions ... See full document
5
Discovery of Multi-Objective Overlapping Communities within Social Networks using a Socially Inspired Metaheuristic Algorithm
... According to the selected parameters of inter-group competition step as shown in Table 3, the most powerful groups are combined or the weakest groups are removed. Intra-group competition step is returned to if groups are ... See full document
11
Catastrophes and the Role of Social Networks in Recovery: A Case Study of St. Bernard Parish, LA, Residents After Hurricane Katrina
... working-class communities a generation prior, Gans’ preface to the updated and expanded edition acknowledges that his societies may have passed into the suburbs over time, stating: “The white working class and its ... See full document
270
manuscript.pdf
... Sensor networks are huge networks of small entities used to monitor wild ...those networks is to have a good scheme of messages propagation to minimize the power ... See full document
151
An improved game theoretic approach to uncover overlapping communities
... synthetic networks and real-world ...lapping communities compared with Game and CFinder on different synthetic net- ...small networks with small communities (SS), small net- works with ... See full document
17
Pattern classification of large scale functional brain networks : identification of informative neuroimaging markers for epilepsy
... a large number of symmetric brain ...and social behavior like fear conditioning and face perception [47], and may be affected alone or in combination with other regions in temporal lobe ... See full document
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