A high-level and scalable approach for generating scale-free graphs using active objects-Reference-Cited by-同舟云学术

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A high-level and scalable approach for generating scale-free graphs using active objects

Published:2016-04-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st Annual ACM Symposium on Applied Computing
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Author:

Azadbakht Keyvan¹,Bezirgiannis Nikolaos¹,de Boer Frank S.¹,Aliakbary Sadegh²

Affiliation:

1. Centrum Wiskunde en Informatica, Amsterdam, Netherlands

2. Shahid Beheshti University, Tehran, Iran

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2851613.2851722

Reference27 articles.

1. Surfsara. https://surfsara.nl/. Surfsara. https://surfsara.nl/.

2. Distributed-memory parallel algorithms for generating massive scale-free networks using preferential attachment model

3. Object‐sensitive cost analysis for concurrent objects

4. Cost analysis of object-oriented bytecode programs

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1. Fast GPU-Based Generation of Large Graph Networks From Degree Distributions;Frontiers in Big Data;2021-11-26

2. Generating Massive Scale-free Networks;ACM Transactions on Parallel Computing;2020-05-31

3. Novel Parallel Algorithms for Fast Multi-GPU-Based Generation of Massive Scale-Free Networks;Data Science and Engineering;2019-03

4. Deadlock Detection for Actor-Based Coroutines;Formal Methods;2018

5. Distributed Network Generation Based on Preferential Attachment in ABS;SOFSEM 2017: Theory and Practice of Computer Science;2017

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