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pro vyhledávání: '"Lv, Linyuan"'
Predicting network dynamics based on data, a problem with broad applications, has been studied extensively in the past, but most existing approaches assume that the complete set of historical data from the whole network is available. This requirement
Externí odkaz:
http://arxiv.org/abs/2206.04828
Publikováno v:
In Knowledge-Based Systems 9 October 2024 301
Autor:
Li, Ruiqi, Luo, Ankang, Shang, Fan, Lv, Linyuan, Fan, Jingfang, Lu, Gang, Pan, Liming, Tian, Lixin, Stanley, H. Eugene
Fundamental laws of human mobility have been extensively studied, yet we are still lacking a comprehensive understanding of the mobility patterns of sharing conveyances. Since travellers would highly probably no longer possess their own conveyances i
Externí odkaz:
http://arxiv.org/abs/2202.06352
Finding an optimal subset of nodes or links to disintegrate harmful networks is a fundamental problem in network science, with potential applications to anti-terrorism, epidemic control, and many other fields of study. The challenge of the network di
Externí odkaz:
http://arxiv.org/abs/2111.02655
Publikováno v:
Information Sciences 515C (2020) 103-115
Over the past decade, many startups have sprung up, which create a huge demand for financial support from venture investors. However, due to the information asymmetry between investors and companies, the financing process is usually challenging and t
Externí odkaz:
http://arxiv.org/abs/1912.02962
Publikováno v:
Physica A 404 (2014) 47-55
Identifying influential spreaders is crucial for understanding and controlling spreading processes on social networks. Via assigning degree-dependent weights onto links associated with the ground node, we proposed a variant to a recent ranking algori
Externí odkaz:
http://arxiv.org/abs/1306.5042
Publikováno v:
Physical Review E 80 (2009) 046122
Predictions of missing links of incomplete networks like protein-protein interaction networks or very likely but not yet existent links in evolutionary networks like friendship networks in web society can be considered as a guideline for further expe
Externí odkaz:
http://arxiv.org/abs/0905.3558
Publikováno v:
Eur. Phys. J. B 66, 557-561 (2008)
Keywords in scientific articles have found their significance in information filtering and classification. In this article, we empirically investigated statistical characteristics and evolutionary properties of keywords in a very famous journal, name
Externí odkaz:
http://arxiv.org/abs/0801.4163
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