標(biāo)題: Titlebook: Network Science; 7th International Wi Pedro Ribeiro,Fernando Silva,Rosário Laureano Conference proceedings 2022 Springer Nature Switzerland [打印本頁] 作者: 注射 時(shí)間: 2025-3-21 20:07
書目名稱Network Science影響因子(影響力)
書目名稱Network Science影響因子(影響力)學(xué)科排名
書目名稱Network Science網(wǎng)絡(luò)公開度
書目名稱Network Science網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Network Science被引頻次
書目名稱Network Science被引頻次學(xué)科排名
書目名稱Network Science年度引用
書目名稱Network Science年度引用學(xué)科排名
書目名稱Network Science讀者反饋
書目名稱Network Science讀者反饋學(xué)科排名
作者: 上流社會(huì) 時(shí)間: 2025-3-21 20:51 作者: 雄辯 時(shí)間: 2025-3-22 00:35
Constructing Provably Robust Scale-Free Networks,lizations that are, in fact, provably robust against any vertex removal strategy. We propose an algorithm that constructs such realizations almost surely, requiring only linear time and space. Our experiments confirm the robustness of the networks generated by this algorithm against adaptive and non-adaptive vertex removal strategies.作者: compel 時(shí)間: 2025-3-22 06:53
Conference proceedings 2022tugal, in February 2021...The 13 full papers were carefully reviewed and selected from 19 submissions. The papers deal with the study of network models in domains ranging from biology and physics to computer science, from financial markets to cultural integration, and from social media to infectious diseases..作者: 不怕任性 時(shí)間: 2025-3-22 12:05 作者: Oscillate 時(shí)間: 2025-3-22 13:23 作者: Ischemic-Stroke 時(shí)間: 2025-3-22 20:05 作者: AMPLE 時(shí)間: 2025-3-23 00:20 作者: 過份 時(shí)間: 2025-3-23 05:05
,Deep Topological Embedding with?Convolutional Neural Networks for?Complex Network Classification,x networks. In this sense, we present a convolutional architecture to classify DTE representations of different topological models. Our method achieves improved classification accuracy compared to related methods when tested on three benchmarks.作者: deficiency 時(shí)間: 2025-3-23 05:56 作者: progestogen 時(shí)間: 2025-3-23 11:48 作者: Pituitary-Gland 時(shí)間: 2025-3-23 14:36
,Competitive Information Spreading on?Modular Networks,ture has a strong effect on not only the spreading process but also the final prevalence. Specifically, two competing pieces of information cannot coexist and one drives out the other on a non-modular network, whereas they can coexist in different communities on a modular network. Our results sugges作者: 畏縮 時(shí)間: 2025-3-23 19:53 作者: 羞辱 時(shí)間: 2025-3-24 00:23
Ivana Bachmann,Javier Bustos-Jiméneztained and should be accessible to graduate students in analysis.The core of the book is composed of regularity results that were proved in the last ten years and which are presented in a more detailed and unified way..978-3-7643-7302-3Series ISSN 0743-1643 Series E-ISSN 2296-505X 作者: FLINT 時(shí)間: 2025-3-24 04:57 作者: chiropractor 時(shí)間: 2025-3-24 10:28
Rouzbeh Hasheminezhad,Ulrik Brandesis appropriate for researchers, upper level students (masters level and beyond) and practitioners wishing to revive their knowledge of times series analysis or to quickly learn about the main mechanisms of SSA.??.? ? ? ? ? ? ? ? ? ? ? ? ??.? ? ? ? ? ??.978-1-137-40951-5Series ISSN 2662-639X Series E-ISSN 2662-6403 作者: 減弱不好 時(shí)間: 2025-3-24 12:03
Satoshi Furutani,Toshiki Shibahara,Mitsuaki Akiyama,Masaki Aidans and econometricians, specialists in any discipline in which problems of time series analysis and forecasting occur, specialists in signal processing and those needed to extract signals from noisy data, and students taking courses on applied time series analysis.978-3-642-34913-3Series ISSN 2191-544X Series E-ISSN 2191-5458 作者: 加花粗鄙人 時(shí)間: 2025-3-24 18:19 作者: NAIVE 時(shí)間: 2025-3-24 20:24 作者: 鋪?zhàn)?nbsp; 時(shí)間: 2025-3-25 03:14
Sofia Dokuka,Elizaveta Sivak,Ivan Smirnovby Fraedrich (1986) and Broomhead and King (l986a). Prior to this, SSA was used in biological oceanography by Colebrook (1978). In the digi- tal signal processing community, the approach is also known as the Karhunen-Loeve (K-L) expansion (Pike et aI., 1984). Like other techniques based on spectral decomposit978-1-4419-3266-2978-1-4757-2514-8作者: 尊敬 時(shí)間: 2025-3-25 03:40
Leonardo Scabini,Lucas Ribas,Eraldo Ribeiro,Odemir Brunoch (1986) and Broomhead and King (l986a). Prior to this, SSA was used in biological oceanography by Colebrook (1978). In the digi- tal signal processing community, the approach is also known as the Karhunen-Loeve (K-L) expansion (Pike et aI., 1984). Like other techniques based on spectral decomposit作者: 名詞 時(shí)間: 2025-3-25 09:10 作者: 動(dòng)機(jī) 時(shí)間: 2025-3-25 14:43
Racha Gouareb,Francois Can,Sohrab Ferdowsi,Douglas Teodoroch (1986) and Broomhead and King (l986a). Prior to this, SSA was used in biological oceanography by Colebrook (1978). In the digi- tal signal processing community, the approach is also known as the Karhunen-Loeve (K-L) expansion (Pike et aI., 1984). Like other techniques based on spectral decomposit作者: 槍支 時(shí)間: 2025-3-25 19:19 作者: Slit-Lamp 時(shí)間: 2025-3-25 22:47 作者: 向下 時(shí)間: 2025-3-26 02:12 作者: 短程旅游 時(shí)間: 2025-3-26 06:34 作者: Endearing 時(shí)間: 2025-3-26 09:14
Sofia Dokuka,Elizaveta Sivak,Ivan Smirnovgenvalues, A, are the numbers that make the matrix A -AI singular. The term singular spectrum analysis· is unfortunate since the traditional eigenvalue decomposition involving multivariate data is also an analysis of the singular spectrum. More properly, singular spectrum analysis (SSA) should be ca作者: 譏諷 時(shí)間: 2025-3-26 16:23
Leonardo Scabini,Lucas Ribas,Eraldo Ribeiro,Odemir Bruno A, are the numbers that make the matrix A -AI singular. The term singular spectrum analysis· is unfortunate since the traditional eigenvalue decomposition involving multivariate data is also an analysis of the singular spectrum. More properly, singular spectrum analysis (SSA) should be called the a作者: 圣人 時(shí)間: 2025-3-26 17:35
Stephany Rajeh,Marinette Savonnet,Eric Leclercq,Hocine Cherifigenvalues, A, are the numbers that make the matrix A -AI singular. The term singular spectrum analysis· is unfortunate since the traditional eigenvalue decomposition involving multivariate data is also an analysis of the singular spectrum. More properly, singular spectrum analysis (SSA) should be ca作者: 果核 時(shí)間: 2025-3-26 21:51
Racha Gouareb,Francois Can,Sohrab Ferdowsi,Douglas Teodoro A, are the numbers that make the matrix A -AI singular. The term singular spectrum analysis· is unfortunate since the traditional eigenvalue decomposition involving multivariate data is also an analysis of the singular spectrum. More properly, singular spectrum analysis (SSA) should be called the a作者: NAIVE 時(shí)間: 2025-3-27 03:16 作者: 太空 時(shí)間: 2025-3-27 05:53 作者: prosthesis 時(shí)間: 2025-3-27 11:03 作者: catagen 時(shí)間: 2025-3-27 17:09 作者: multiply 時(shí)間: 2025-3-27 20:55
Satoshi Furutani,Toshiki Shibahara,Mitsuaki Akiyama,Masaki Aida specialists in any discipline.For students taking courses oSingular spectrum analysis (SSA) is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA seeks作者: 甜瓜 時(shí)間: 2025-3-28 01:40 作者: 越自我 時(shí)間: 2025-3-28 05:36
ries and digital images.Provides tutorials on the Rssa packa.This comprehensive and richly illustrated volume provides up-to-date material on Singular Spectrum Analysis (SSA). SSA is a well-known methodology for the analysis and forecasting of time series. Since quite recently, SSA is also being use作者: 多產(chǎn)子 時(shí)間: 2025-3-28 07:23 作者: sperse 時(shí)間: 2025-3-28 11:33 作者: Implicit 時(shí)間: 2025-3-28 16:04
,On the Number of Edges of the Fréchet Mean and Median Graphs,dom variables. To characterize the average of a sample of graphs, one can compute the sample Frechet mean and median graphs. In this paper, we address the following foundational question: does a mean or median graph inherit the structural properties of the graphs in the sample? An important graph pr作者: 動(dòng)作謎 時(shí)間: 2025-3-28 21:27
Core But Not Peripheral Online Social Ties is a Protective Factor Against Depression: Evidence fromh to happiness attract growing research attention. In most studies, online ties are treated as representing a single type of relationship. However, our online friendship networks are not homogeneous and could include close connections, e.g. a partner, as well as people we have never met in person. I作者: Homocystinuria 時(shí)間: 2025-3-29 00:57 作者: Glower 時(shí)間: 2025-3-29 06:57 作者: innate 時(shí)間: 2025-3-29 09:22 作者: 糾纏 時(shí)間: 2025-3-29 13:19 作者: STEER 時(shí)間: 2025-3-29 19:10 作者: Trabeculoplasty 時(shí)間: 2025-3-29 22:34
Constructing Provably Robust Scale-Free Networks,lizations that are, in fact, provably robust against any vertex removal strategy. We propose an algorithm that constructs such realizations almost surely, requiring only linear time and space. Our experiments confirm the robustness of the networks generated by this algorithm against adaptive and non作者: glans-penis 時(shí)間: 2025-3-30 03:41 作者: Antimicrobial 時(shí)間: 2025-3-30 05:26
,Competitive Information Spreading on?Modular Networks,ies only focus on the spread of a single piece of information on random networks, even though information spreading in the real world is much more complicated, involving a complex topology structure and interactions between multiple information. Therefore, in this paper, we model the competitive inf
