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Can, Fazlı; Kocberber, Seyit; Bağlıoğlu, Özgür; Kardaş, Süleyman; Ocalan, H. Cagdas; Uyar, Erkan

doi:10.1002/asi.v61:4

Cited by 45 publications

(6 citation statements)

References 514 publications

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“…the nearest features to the target class. The MI is a relevance feature selection method that measures the information of two random variables in ML [30][31][32]. In other words, the MI refers to the extent of association between two random variables, i.e.…”

Section: Extracting and Simplifying The Lsc Of The Atomsmentioning

confidence: 99%

AtomicNet: a novel approach to identify the crystal structure of each simulated atom

Han¹,

Leilei²,

Wang³

et al. 2020

Modelling Simul. Mater. Sci. Eng.

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The study of crystal structure in the process of plastic deformation is essential to analyse the properties of materials and help to understand the deformation mechanism. With the rapid development of computer hardware and algorithms, great efforts have been paid for atomic simulation with computer science. However, most existing methods can only identify known structures in advance and consider unknown structure as unrecognized ones. In this work, we propose a method to identify crystal structure among atomistic simulations of crystalline materials. First, we develop a new characterization to describe each atom’s local space information, i.e. local spatial characteristics and utilize mutual information to simplify the characteristics. Then, the multi-layer perceptron neural network is used for the classification on the simplified characteristics. With the proposed method, we can not only identify the crystal structures of the surface of atoms, but also obtain the value of probability of each crystal structure. Our work provides significant insights for finding new mechanisms in structure transformation in material science field.

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Section: Extracting and Simplifying The Lsc Of The Atomsmentioning

confidence: 99%

AtomicNet: a novel approach to identify the crystal structure of each simulated atom

Han¹,

Leilei²,

Wang³

et al. 2020

Modelling Simul. Mater. Sci. Eng.

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“…Some similar works like [6,4,3] are conducted to detect the appearance of topics, but no more analysis of topics are not involved. And the users' query is used to reduce the scale of data and realize the query-guided event detection [12].…”

Section: Related Workmentioning

confidence: 99%

Building Hierarchical Keyword Level Association Link Networks for Web Events Semantic Analysis

Xuan

Luo

Zhang

et al. 2011

2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing

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With the increase of information scale of web events on the time, it is extremely difficult and challenging to grasp the semantics of web events artificially, because of the limitation of the time and energy of human beings. Herein, we propose a method to map the web event to keyword level association link network (KALN) for deep analysis of the semantics of web events, such as the evolution semantics of web events. Firstly, the original KALN is constructed at a given time by traditional data mining technologies. Then, the hierarchical KALN, consisted of Theme Layer Network, Backbone Layer Network and Tidbit Layer Network, is built based on the original KALN by information entropy to identify the different semantic levels of the web event, including stable semantics, sub-stable semantics and unstable semantics. With the semantic analysis of hierarchical KALN, human could easily gain a thorough understanding of the web event. Finally, experiments show that our method can effectively capture the different level semantics of web events.

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“…Given its appeal to the general public, Wikipedia has also attracted a lot of attention in the scientific community where it has become a subject of research itself. The research about Wikipedia includes, amongst others, the examination of recommendations and pitfalls when it comes to the analyses of its content (Bayliss, 2013;Denning et al, 2005;Eijkman, 2010;Luyt & Tan, 2010), studies that evaluate the accuracy of articles (Holman Rector, 2008) and of references (Bould et al, 2014), as well as efforts to attribute ownership of content to editors, such as WikiWho 7 (Flöck & Acosta, 2014). Zagovora, O., Ulloa, R., Weller, K., Flöck, F. (2021) 'I Updated the <ref>': The Evolution of References in the English Wikipedia and the Implications for Altmetrics.…”

Section: Introductionmentioning

confidence: 99%

“I updated the <ref>”: The evolution of references in the English Wikipedia and the implications for altmetrics

Zagovora

Ulloa

Weller

et al. 2022

Quantitative Science Studies

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With this work, we present a publicly available dataset of the history of all the references (more than 55 million) ever used in the English Wikipedia until June 2019. We have applied a new method for identifying and monitoring references in Wikipedia, so that for each reference we can provide data about associated actions: creation, modifications, deletions, and reinsertions. The high accuracy of this method and the resulting dataset was confirmed via a comprehensive crowdworker labelling campaign. We use the dataset to study the temporal evolution of Wikipedia references as well as users’ editing behaviour. We find evidence of a mostly productive and continuous effort to improve the quality of references: (1) there is a persistent increase of reference and document identifiers (DOI, PubMedID, PMC, ISBN, ISSN, ArXiv ID), and (2) most of the reference curation work is done by registered humans (not bots or anonymous editors). We conclude that the evolution of Wikipedia references, including the dynamics of the community processes that tend to them should be leveraged in the design of relevance indexes for altmetrics, and our dataset can be pivotal for such an effort. Peer Review https://publons.com/publon/10.1162/qss_a_00171

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Untitled

Cited by 45 publications

References 514 publications

AtomicNet: a novel approach to identify the crystal structure of each simulated atom

AtomicNet: a novel approach to identify the crystal structure of each simulated atom

Building Hierarchical Keyword Level Association Link Networks for Web Events Semantic Analysis

“I updated the <ref>”: The evolution of references in the English Wikipedia and the implications for altmetrics

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Untitled

Cited by 45 publications

References 514 publications

AtomicNet: a novel approach to identify the crystal structure of each simulated atom

AtomicNet: a novel approach to identify the crystal structure of each simulated atom

Building Hierarchical Keyword Level Association Link Networks for Web Events Semantic Analysis

“I updated the &lt;ref&gt;”: The evolution of references in the English Wikipedia and the implications for altmetrics

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Product

Resources

About

“I updated the <ref>”: The evolution of references in the English Wikipedia and the implications for altmetrics