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Complex Network Formation and Analysis of Online Social Media Systems

Computer Modeling in Engineering & Sciences 2022年第3期130卷 1737-1750页

作者： Hafiz Abid Mahmood Malik Faculty of Computer Studies Arab Open UniversityA’aliKingdom of Bahrain

To discover and identify the influential nodes in any complex network has been an important *** is a significant factor in order to control over the *** control on a network,any information can be spread and stopped in a short span of *** targets can be achieved,since network of information can be extended and as well ***,information spread and community formation have become one of the most crucial issues in the world of SNA(Social Network Analysis).In this work,the complex network of twitter social network has been formalized and results are *** this purpose,different network metrics have been *** of the network is provided in its original form and then filter out(different percentages)from the network to eliminate the less impacting nodes and edges for better *** network is analyzed according to different centrality measures,like edge-betweenness,betweenness centrality,closeness centrality and eigenvector *** nodes are detected and their impact is observed on the *** communities are analyzed in terms of network coverage considering theMinimum Spanning Tree,shortest path distribution and network *** is found that these are the very effective ways to find influential and central nodes from such big social networks like Facebook,Instagram,Twitter,LinkedIn,etc.

关键词： Complex network data extraction nodes and edges network visualization social media network main hubs centrality measures

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