Large-scale artificial societies with millions or billions of agents call for high-performance parallel *** supercomputers with thousands of CpUs and GpUs make it possible to carry out such *** key is to distribute la...
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Large-scale artificial societies with millions or billions of agents call for high-performance parallel *** supercomputers with thousands of CpUs and GpUs make it possible to carry out such *** key is to distribute large-scale agents to massive cores of CpUs and GpUs properly for parallel computing with efficient communication and *** simplicity and efficiency,a modified discrete event system specification(DEVS)is proposed for large-scale artificial society modeling and parallelism is exploited in agent models because similar agents usually share similar *** phased synchronization,a two-tier parallel simulation engine is designed with support of MpI and OpenCL where GpU is used as ***-sided communication is used for reflection of remote simulation objects and message passing between processes.A general kernel function prototype is elaborately designed and conditionally compiled for execution on both CpU and *** artificial society for epidemic study is used to test the performance on a supercomputer with 1024 CpU cores and 1792 GpU *** speedup reaches 3512 for even 2 billion agents with GpU acceleration which is far over 701 when only CpUs are *** turns out feasible for parallel simulation of large-scale artificial society with GpU as coprocessor.
Sina-Microblog, the earliest and biggest microblogging service in China, has become one of the most popular media in information propagation. In order to gain insights into the topological and information diffusing ch...
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Sina-Microblog, the earliest and biggest microblogging service in China, has become one of the most popular media in information propagation. In order to gain insights into the topological and information diffusing characteristics of microblogging network in China, we crawled Sina-Microblog for about 3 months and obtain the trace of its topology and topics. Compared with other online social networks, our measurement study shows a number of interesting findings. Our data suggests that Sina-Microblog network has apparent small-world effect and scale-free characteristic, specially, the outdegree distribution appears to have multiple separate power-law regimes with different exponents. We also observe the overlay graph of Sina-Microblog represents assortative mixing pattern and weak correlation of indegree and outdegree. Moreover, by constructing the cascades of different topics, our data suggests that the distribution of cascades size follows a power-law and heavy-tailed property with the slope approximately -2, and the common motifs of cascades with different topics are very similar, above 93% of them are isolated nodes. In order to find the formative motivity of hot cascades, we find that they always evolve to the structures like `star pattern' and `two-polar pattern', which are mainly due to the indegree of participating nodes, and are also correlated with the content of tweet.
In this paper, we propose a novel method based on the combination of Named Entity Recognition and Entity Rank algorithm for detecting key entities with significant influence and importance from huge sentiment data col...
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In this paper, we propose a novel method based on the combination of Named Entity Recognition and Entity Rank algorithm for detecting key entities with significant influence and importance from huge sentiment data collected from Internet. Firstly, we extract entities from the target news websites and forums using a rule-based and CRF combined method. Secondly, we use the Entity Rank algorithm to calculate the hotness of entities extracted from the news and forums data. Finally, we validate the rationality of our algorithm by comparing our hot entities and current affairs. We believe this work will shed new lights on the online public sentiment supervision.
With the rapid development of microblog technology, many interesting research issues on microblog have aroused growing attention. Data fetching from microblog is the groundwork of these researches. In this paper we ta...
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ISBN:
(纸本)9781467330930
With the rapid development of microblog technology, many interesting research issues on microblog have aroused growing attention. Data fetching from microblog is the groundwork of these researches. In this paper we take Sina microblog (also called Weibo) as the crawling site, designing and implementing a high efficient incremental microblog crawler based on the classic multi-producers and multi-consumers model. Experimental results demonstrate that the crawler can collect real time microblog information efficiently and precisely.
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