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Full-Text Articles in Physical Sciences and Mathematics
Hierarchical Parallel Algorithm For Modularity-Based Community Detection Using Gpus, Chun Yew Cheong, Huynh Phung Huynh, David Lo, Rick Siow Mong Goh
Hierarchical Parallel Algorithm For Modularity-Based Community Detection Using Gpus, Chun Yew Cheong, Huynh Phung Huynh, David Lo, Rick Siow Mong Goh
David LO
This paper describes the design of a hierarchical parallel algorithm for accelerating community detection which involves partitioning a network into communities of densely connected nodes. The algorithm is based on the Louvain method developed at the Université Catholique de Louvain, which uses modularity to measure community quality and has been successfully applied on many different types of networks. The proposed hierarchical parallel algorithm targets three levels of parallelism in the Louvain method and it has been implemented on single-GPU and multi-GPU architectures. Benchmarking results on several large web-based networks and popular social networks show that on top of offering speedups …
Network Analysis Methods And Tools For Sme C-Commerce, Mark Brogan
Network Analysis Methods And Tools For Sme C-Commerce, Mark Brogan
Mark Brogan
This paper reflects on network analysis methods and their utility for understanding network behaviours that impinge upon clustering and C-commerce innovation. The primary focus of the paper is an analysis framework that combines elements representative of both quantitative and interpretivist approaches. The framework was applied to the analysis of information and knowledge flows between Small-to-Medium Sized Tourism Enterprizes (SMTEs) that participated in a portal quasi-experiment based on the Cape Range Ningaloo World Heritage Region of Western Australia.
The Fall-Out From Emerging Technologies: On Matters Of Surveillance, Social Networks And Suicide, M.G. Michael, Katina Michael
The Fall-Out From Emerging Technologies: On Matters Of Surveillance, Social Networks And Suicide, M.G. Michael, Katina Michael
Professor Katina Michael
No abstract provided.
Stop Social Network Pitfalls, K. Michael
Stop Social Network Pitfalls, K. Michael
Professor Katina Michael
Ask a group of teenagers how they spend their spare time and most will mention Facebook, YouTube, World of Warcraft, or Second Life – ‘virtual’ social networks that bring millions of people together online. The benefits of social networks have been touted but what about the pitfalls? Some teens will share everything about themselves to hundreds of online friends, most of whom they have never met. Twitter style prompts like where you are, what you are doing, and who you are doing it with reveal a lot about one’s behaviours, one’s inner thoughts, and even one’s vulnerabilities. Some teens upload …