Report subject:Identifying influential nodes from local and global perspectives in complex bet365 online sports betting app
Report time:2021Year11month5Day morning8:30
Reporting location:Computer bet365 online sports betting app313
Report1Abstract:
Complex bet365 online sports betting app are powerful methods for representing and studying the interactions among objects in the real world, it is an abstraction of complex systems. The topology of complex bet365 online sports betting app determines their node influence. Consistent research proposed various approaches like local-structure-based methods, e.g., degree centrality, PageRank, etc., and global-structure-based methods, e.g., betweenness, closeness centrality, etc., to evaluate the concerned nodes. Though their performance is amazingly well, these methods have undergone some intrinsic limitations. For instance, local-structure-based methods lose some sort of global bet365 online sports betting app and global-structure-based methods are too complicated to measure the important nodes, particularly in networks where sizes become large. To tackle these challenges, we propose a Local-and-Global Centrality measuring algorithm to identify the vital nodes through handling local as well as global topological aspects of a network simultaneously. In order to assess the performance of the proposed algorithm with respect to the state-of-the-art methodologies, we performed experiments through the proposed approach, Betweenness (BNC), Closeness (CNC), Gravity (GIC), Page-Rank (PRC), Eigenvector (EVC), Global and Local Structure (GLS), Global Structure Model (GSM), and Profit-leader (PLC) methods on differently sized real-world networks. Our experiments disclose that the proposed approach outperformed many of the compared techniques.
Summary of report two:
The method proposed above has limitations. For example, it only considers the degree of a node in a network, but the position of the node in some complex bet365 online sports betting app is also very important (the importance of a bet365 online sports betting app also depends on its position in a network and the number of neighbors it can influence.). Therefore, in order to solve this problem, we have bet365 online sports betting app an extended version of LGC called LGC+ to deal with this problem.
Report outline:
Ø Introduction and Background of complex bet365 online sports betting app (Influential nodes identification)
Ø Our main Contribution
Ø Related Work regarding
Ø bet365 online sports betting app Methodology
Ø Experimental Results
Ø Conclusions and Future Recommendation
About the speaker:
Aman Ullah has completed his BS degree in computer science from Gomal bet365 online sports betting app DIkhan Pakistan and MS degree in software engineering from Abasyn bet365 online sports betting app Peshawar Pakistan in 2013 and 2017 respectively. He is currently pursuing PhD degree with School of Computer Science and Engineering, bet365 online sports betting app, Changsha, China. He has published several JCR index by SCI research papers in reputed journals. His research interests include Complex bet365 online sports betting app and Software Engineering.
