Institution
University of Texas at Arlington
Education•Arlington, Texas, United States•
About: University of Texas at Arlington is a education organization based out in Arlington, Texas, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 11758 authors who have published 28598 publications receiving 801626 citations. The organization is also known as: UT Arlington & University of Texas-Arlington.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the predictive relationship between social media and firm equity value, the relative effects of social media metrics compared with conventional online behavioral metrics, and the dynamics of these relationships were examined.
Abstract: Companies have increasingly advocated social media technologies to transform businesses and improve organizational performance. This study scrutinizes the predictive relationships between social media and firm equity value, the relative effects of social media metrics compared with conventional online behavioral metrics, and the dynamics of these relationships. The results derived from vector autoregressive models suggest that social media-based metrics (web blogs and consumer ratings) are significant leading indicators of firm equity value. Interestingly, conventional online behavioral metrics (Google searches and web traffic) are found to have a significant yet substantially weaker predictive relationship with firm equity value than social media metrics. We also find that social media has a faster predictive value, i.e., shorter “wear-in” time, than conventional online media. These findings are robust to a consistent set of volume-based measures (total blog posts, rating volume, total page views, and search intensity). Collectively, this study proffers new insights for senior executives with respect to firm equity valuations and the transformative power of social media.
475 citations
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TL;DR: In this paper, the authors highlight the advances that have been made and identify some of the gaps in our current knowledge of these materials and discuss size quantization effects and semiconductor quantum dots.
Abstract: A diverse array of semiconductor-based composite materials have been prepared, characterized, and utilized in many applications ranging from photocatalysis, photovoltaic cells, photoelectrochromic displays, and light-emitting devices to sensors. The composite architectures (nanoarchitectures in many cases) are equally diverse. In this review, we highlight the advances that have been made and identify some of the gaps in our current knowledge of these materials. Size quantization effects and semiconductor quantum dots are also discussed.
471 citations
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TL;DR: The results derived from vector autoregressive models suggest that social media-based metrics Web blogs and consumer ratings are significant leading indicators of firm equity value and social media has a faster predictive value, i.e., shorter “wear-in” time, than conventional online media.
Abstract: Companies have increasingly advocated social media technologies to transform businesses and improve organizational performance. This study scrutinizes the predictive relationships between social media and firm equity value, the relative effects of social media metrics compared with conventional online behavioral metrics, and the dynamics of these relationships. The results derived from vector autoregressive models suggest that social media-based metrics Web blogs and consumer ratings are significant leading indicators of firm equity value. Interestingly, conventional online behavioral metrics Google searches and Web traffic are found to have a significant yet substantially weaker predictive relationship with firm equity value than social media metrics. We also find that social media has a faster predictive value, i.e., shorter “wear-in” time, than conventional online media. These findings are robust to a consistent set of volume-based measures total blog posts, rating volume, total page views, and search intensity. Collectively, this study proffers new insights for senior executives with respect to firm equity valuations and the transformative power of social media.
471 citations
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03 Aug 2013TL;DR: This paper proposes a new robust large-scale multi-view clustering method to integrate heterogeneous representations of largescale data and evaluates the proposed new methods by six benchmark data sets and compared the performance with several commonly used clustering approaches as well as the baseline multi- view clustering methods.
Abstract: In past decade, more and more data are collected from multiple sources or represented by multiple views, where different views describe distinct perspectives of the data. Although each view could be individually used for finding patterns by clustering, the clustering performance could be more accurate by exploring the rich information among multiple views. Several multi-view clustering methods have been proposed to unsupervised integrate different views of data. However, they are graph based approaches, e.g. based on spectral clustering, such that they cannot handle the large-scale data. How to combine these heterogeneous features for unsupervised large-scale data clustering has become a challenging problem. In this paper, we propose a new robust large-scale multi-view clustering method to integrate heterogeneous representations of largescale data. We evaluate the proposed new methods by six benchmark data sets and compared the performance with several commonly used clustering approaches as well as the baseline multi-view clustering methods. In all experimental results, our proposed methods consistently achieve superiors clustering performances.
471 citations
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TL;DR: In this paper, the authors studied the guided-mode resonance behavior of the evanescent and propagating fields associated with an unslanted, planar diffraction grating by means of the rigorous coupledwave theory.
Abstract: The guided-mode resonance behavior of the evanescent and propagating fields associated with an unslanted, planar diffraction grating is studied by means of the rigorous coupled-wave theory. For weakly modulated gratings, the condition on the guided-mode wave number of the corresponding unmodulated dielectric-layer waveguide may be used to predict the range of the incident angle or wavelength within which the resonances can be excited. Furthermore, the locations of the resonances are predicted approximately by the eigenvalue equation of the waveguide. As the modulation amplitude increases, the location and shape of the resonances are described in detail by the rigorous coupled-wave theory. The results presented demonstrate that the resonances can cause rapid variations in the intensity of the external propagating diffracted waves.
470 citations
Authors
Showing all 11918 results
Name | H-index | Papers | Citations |
---|---|---|---|
Zhong Lin Wang | 245 | 2529 | 259003 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
David H. Adams | 155 | 1613 | 117783 |
Andrew White | 149 | 1494 | 113874 |
Kaushik De | 139 | 1625 | 102058 |
Steven F. Maier | 134 | 588 | 60382 |
Andrew Brandt | 132 | 1246 | 94676 |
Amir Farbin | 131 | 1125 | 83388 |
Evangelos Gazis | 131 | 1147 | 84159 |
Lee Sawyer | 130 | 1340 | 88419 |
Fernando Barreiro | 130 | 1082 | 83413 |
Stavros Maltezos | 129 | 943 | 79654 |
Elizabeth Gallas | 129 | 1157 | 85027 |
Francois Vazeille | 129 | 952 | 79800 |
Sotirios Vlachos | 128 | 789 | 77317 |