[PDF] Top 20 A Study on Community Detection Based on Seed Nodes over Social Network

A Study on Community Detection Based on Seed Nodes over Social Network

... Large-scale social networks emerged rapidly in the recent year. The social network has become more ...The community is an important structure in the social ...So, community ... See full document

9

Overlapping Community and Node Discovery Algorithm Based on Edge Similarity

... overlapping nodes in networks is usually achieved by discovering overlapping communities ...overlapping nodes detection, there are many problems such as high complexity, low accuracy ...overlapping ... See full document

6

Community Detection Using Random Walk Label Propagation Algorithm and PageRank Algorithm over Social Network

... more social, because it is allows pe ople to e xtend their social life in unprece de nte d ...on social sites like Face book, Twi tter , etc, based on their interest, likes ...In social ... See full document

5

Influence spreading model used to analyse social networks and detect sub-communities

... a network structure are mini- mum-cut method, hierarchical clustering, Girvan–Newman algorithm, modularity maximization, statistical inference [26], and clique-based ...titioning network nodes ... See full document

39

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 community is commonly considered as a social unit ... See full document

5

Community Detection in Social Network with Outlier Recognition

... finding seed node by using the degree centrality is necessary which is designed to find nodes that are most “central” to the ...contain8 nodes and 11 edges as shown in Figure ... See full document

7

A Survey on Dynamic Community Detection based on Distance Dynamics in Real World Network

... of nodes which probably share common properties and/or play similar roles within the graph ...[8]. Community is a small or large unit or social unit who has something in ...common. Community ... See full document

5

A Comparative Study of Community Detection Methods in Social Network Analysis

... Modularity based community detection methods are getting high attention now a day, but it has a problem of resolution ...for community detection in graphs [6]. For this, methods ... See full document

7

Taxonomy of Community Detection over Social Media

... of social media facilitate online users to share contents and interact on a shared ...platform. Social media mining allows users to visualize, evaluate, analyze, and extract meaningful patterns and trends ... See full document

7

Parallel seed selection method for overlapping community detection in social network

... complex network is that the nodes are tightly connected with each other in groups and in turn, the groups will be loosely connected to each ...complex network could give many insights about the ... See full document

11

A Survey on Online Social Network Anomaly Detection

... the social network ...the detection of opinion spam a belief propagation method has been applied which deals with a set of hidden ...the network structure is considered as static for a fixed ... See full document

15

Effects of Solar System on Piles (Hemorrhoids) A Case Study Based on Medical Astrology

... This study has the inclusion of random sampling of the 30 persons having piles ...This study being the inclusion of 30 piles-patients may not fully be accepted in general but it is hoped to be a extra ... See full document

5

A Study on Social Media Advertising Influences on Car Purchases in the Kingdom of Bahrain

... this study will be beneficial to the ...this study will lead to the identification of effects of social media advertising on car customers in the Kingdom of ...this study will provide ... See full document

5

Dynamical Process on Growing Geometrical Network Based on Modular Group

... of network, N in some scale-free networks while behaves very differ- ently in standard regular fractals (Bentz et ...travelling over networks and also the average trapping time hT j ... See full document

9

Community detection based on network communicability

... Then, because the graph is so locally dense in relation with its global density the modularity index, and probably other quality measures, are fooled and identifies pairs of cliques as a better partition than the single ... See full document

55

A Survey on Spam Detection Methodologies in Social Networking Sites

... spammer detection model in twitter network used Naive bayes, clustering and decision tree learning ...spam detection accuracy combined these three learning algorithms in the ... See full document

6

Approaches and Techniques to form Wireless Sensor Networks

... sensor nodes in wireless sensor networks (WSNs) have resource Constraints like limited energy, low storage capacity and weak computing ...the network is ...employed, nodes are static or mobile, the ... See full document

5

Detection Of Malicious Nodes In Mobile Adhoc Network

... the nodes from mimic and a few different ...two nodes and uses a message verification code (MAC) keeping in mind the end goal to confirm point-to-point messages between ... See full document

7

Detection of Malicious Nodes in Mobile Adhoc Network

... mobile nodes so the network topology may change rapidly and unpredictably over ...The nodes themselves execute all the network activity including discovering network topology and ... See full document

12

Intrusion Detection System Based on Data Mining Techniques

... Apache Tomcat (or Jakarta Tomcat or simply Tomcat) is an open source Servlet container developed by the Apache Software Foundation (ASF). Tomcat implements the Java Servlet and the Java Server Pages (JSP) specifications. ... See full document

6