標(biāo)題: Titlebook: Dynamics On and Of Complex Networks, Volume 2; Applications to Time Animesh Mukherjee,Monojit Choudhury,Bivas Mitra Book 2013 Springer Scie [打印本頁] 作者: 譴責(zé) 時間: 2025-3-21 18:52
書目名稱Dynamics On and Of Complex Networks, Volume 2影響因子(影響力)
書目名稱Dynamics On and Of Complex Networks, Volume 2影響因子(影響力)學(xué)科排名
書目名稱Dynamics On and Of Complex Networks, Volume 2網(wǎng)絡(luò)公開度
書目名稱Dynamics On and Of Complex Networks, Volume 2網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Dynamics On and Of Complex Networks, Volume 2被引頻次
書目名稱Dynamics On and Of Complex Networks, Volume 2被引頻次學(xué)科排名
書目名稱Dynamics On and Of Complex Networks, Volume 2年度引用
書目名稱Dynamics On and Of Complex Networks, Volume 2年度引用學(xué)科排名
書目名稱Dynamics On and Of Complex Networks, Volume 2讀者反饋
書目名稱Dynamics On and Of Complex Networks, Volume 2讀者反饋學(xué)科排名
作者: Debrief 時間: 2025-3-22 00:14 作者: 迫擊炮 時間: 2025-3-22 02:43
The Evolution of Layered Protocol Stacks Leads to an Hourglass-Shaped Architecturetitative manner. Instead of only considering a specific protocol stack, an abstract evolutionary model, referred to as EvoArch, in which protocols are represented by nodes and services are represented by directed links, is considered. In this layered directed acyclic graph representation of protocol作者: 卵石 時間: 2025-3-22 06:06 作者: Lineage 時間: 2025-3-22 08:45 作者: 語言學(xué) 時間: 2025-3-22 14:54
Evaluating the Performance of Clustering Algorithms in Networkss chapter then proposes a new class of graphs, that account for the heterogeneity in the distributions of node degrees and of community sizes and is therefore closer to real properties found in real networks. Moreover, the new benchmark is generalized to include overlapping, weighted and directed gr作者: 語言學(xué) 時間: 2025-3-22 20:38
Communities in Evolving Networks: Definitions, Detection, and Analysis Techniquese of these networks and may have applications in data mining or visualization for instance. In this chapter, a survey of recent advances in the definition, the detection and the analysis of these communities in the particular case of evolving networks has been carried out.作者: –LOUS 時間: 2025-3-23 00:45 作者: Keratin 時間: 2025-3-23 02:39 作者: 帶來 時間: 2025-3-23 05:46 作者: 消耗 時間: 2025-3-23 10:51 作者: 打包 時間: 2025-3-23 15:03 作者: modish 時間: 2025-3-23 19:59
Epidemics on a Stochastic Model of Temporal Networkoral structures, focusing on the growth dynamics of the epidemics. The model assumes no underlying topological structure and is only constrained by the time between two consecutive events of vertex activation, hereafter called vertex inter-event time. The network model consists of random activations作者: Friction 時間: 2025-3-24 01:08 作者: CRANK 時間: 2025-3-24 06:26 作者: Mnemonics 時間: 2025-3-24 09:22 作者: Heretical 時間: 2025-3-24 10:55
Ausbildungsprogramme als Marken? extremely popular in the last decade. They differ among themselves in the character of the service they provide to online users. For instance, Facebook can be seen mainly as a platform for keeping in touch with close friends and relatives, Twitter is used to propagate and receive news, LinkedIn fac作者: FORGO 時間: 2025-3-24 15:12
Hardware,ernet. This chapter is motivated by the studies which have concluded that in the presence of topology dynamics, a better scaling on Internet-like topologies is fundamentally impossible: while routing tables can be greatly reduced, the amount of messages per topology change cannot grow slower than li作者: Fibrillation 時間: 2025-3-24 21:52 作者: Devastate 時間: 2025-3-24 23:52 作者: 埋葬 時間: 2025-3-25 04:52 作者: 航海太平洋 時間: 2025-3-25 10:38
Daten,s chapter then proposes a new class of graphs, that account for the heterogeneity in the distributions of node degrees and of community sizes and is therefore closer to real properties found in real networks. Moreover, the new benchmark is generalized to include overlapping, weighted and directed gr作者: 解脫 時間: 2025-3-25 13:35
F?lle und Aufgaben zur Mitbestimmunge of these networks and may have applications in data mining or visualization for instance. In this chapter, a survey of recent advances in the definition, the detection and the analysis of these communities in the particular case of evolving networks has been carried out.作者: 眨眼 時間: 2025-3-25 17:24
Gesetze, Verordnungen, Informationenesources and collaboratively annotate those resources with meaningful tags. This helps in the search and the organization of the vast amount of resources. Folksonomies are modelled as tripartite user-resource-tag hypergraphs to study their network properties. Detecting communities of similar nodes f作者: 為現(xiàn)場 時間: 2025-3-25 20:54 作者: 責(zé)難 時間: 2025-3-26 02:47 作者: 殺子女者 時間: 2025-3-26 06:23
Gesetze, Verordnungen, Informationen system. The completeness of such dataset allows for their study using a complex system point of view. This chapter discusses how Lyon’s shared bicycle system, called Velo’v, can be seen as a dynamical complex network, and how using community detection methods gives interesting results thanks to the作者: Alcove 時間: 2025-3-26 09:28 作者: 膽小鬼 時間: 2025-3-26 16:06 作者: 要求比…更好 時間: 2025-3-26 17:08
Marketingular. Despite the amount of work done in these two directions, multiple important research challenges still remain open. Due to the massive amounts of available data, scalability of algorithms is of critical importance. Even when full computation is possible, one can think of potential approaches to作者: Altitude 時間: 2025-3-26 21:58 作者: Diastole 時間: 2025-3-27 01:57 作者: meritorious 時間: 2025-3-27 06:13
Algorithms for Finding Motifs in Large Labeled Networksniques that have been developed for them. This chapter focuses primarily on the problem of counting the number of occurrences of a given subgraph. We consider some special classes of subgraphs including trees, triangles and cliques.作者: Melatonin 時間: 2025-3-27 13:02
https://doi.org/10.1007/978-1-4614-6729-8complex networks; dynamic trafficking; dynamical networks; information dynamics; mobile communication; so作者: NIL 時間: 2025-3-27 15:41
978-1-4899-9980-1Springer Science+Business Media New York 2013作者: 強(qiáng)所 時間: 2025-3-27 20:59 作者: 屈尊 時間: 2025-3-27 23:48
Hardware,ernet. This chapter is motivated by the studies which have concluded that in the presence of topology dynamics, a better scaling on Internet-like topologies is fundamentally impossible: while routing tables can be greatly reduced, the amount of messages per topology change cannot grow slower than linearly.作者: ALE 時間: 2025-3-28 02:06
F?lle und Aufgaben zur Mitbestimmunge of these networks and may have applications in data mining or visualization for instance. In this chapter, a survey of recent advances in the definition, the detection and the analysis of these communities in the particular case of evolving networks has been carried out.作者: stroke 時間: 2025-3-28 08:09 作者: lipids 時間: 2025-3-28 11:25
Daten,A broad range of systems are made of elements in interaction and can be represented as networks. Important examples include social networks, the Internet, airline routes, and a wide range of biological networks.作者: 胰島素 時間: 2025-3-28 16:36 作者: SCORE 時間: 2025-3-28 18:45
Dynamics in Online Social Networksason why these platforms share a good number of functionalities, e.g., personal communication channels, broadcasted status updates, easy one-step information sharing, and news feeds exposing broadcasted content. As a result, online social networks are an interesting field to study an online social b作者: 失望昨天 時間: 2025-3-29 00:52 作者: 愉快嗎 時間: 2025-3-29 03:34
Generalized Voter-Like Models on Heterogeneous Networksess connected individuals much more prone to change their opinions than more-connected ones or vice versa) lead to a steeper growth of consensus time with the system size, making the ordering process slower in general. Numerical simulations on quenched networks show that the HMF theory is able to pr作者: Halfhearted 時間: 2025-3-29 09:42 作者: 陳腐思想 時間: 2025-3-29 12:03 作者: 實現(xiàn) 時間: 2025-3-29 19:32
Book 2013 III illustrates diffusion processes..The contributed chapters in this volume are intended to promote cross-fertilization in several research areas and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in pursuing research in dynamic作者: Culpable 時間: 2025-3-29 22:37 作者: BOLUS 時間: 2025-3-30 03:17 作者: glacial 時間: 2025-3-30 05:27
Gesetze, Verordnungen, Informationenich results in significant loss of the information contained in the original tripartite structure. In this chapter, we present “Overlapping Hypergraph Clustering” algorithm which detects overlapping communities in folksonomies using the complete tripartite hypergraph structure. The algorithm convert作者: epicondylitis 時間: 2025-3-30 11:37
ess connected individuals much more prone to change their opinions than more-connected ones or vice versa) lead to a steeper growth of consensus time with the system size, making the ordering process slower in general. Numerical simulations on quenched networks show that the HMF theory is able to pr作者: LATER 時間: 2025-3-30 13:01 作者: Blasphemy 時間: 2025-3-30 20:29 作者: cochlea 時間: 2025-3-30 22:44
An Empirical Validation of Growth Models for Complex Networks作者: Limpid 時間: 2025-3-31 01:16 作者: 幼兒 時間: 2025-3-31 08:33 作者: delusion 時間: 2025-3-31 12:41
The Evolution of Layered Protocol Stacks Leads to an Hourglass-Shaped Architecture stack, this chapter concentrates on the topology of the graph which changes with time as new nodes are created at different layers, and existing nodes are removed as a result of competition with other nodes at the same layer. A robustness study shows that the model produces hourglass structures for a wide range of parameter values.作者: Ligament 時間: 2025-3-31 16:13
Opinion Dynamics on Coevolving Networksamics, in the form of removal or rewiring of connections, induces the appearance of new macroscopic patterns, such as stable or metastable coexistence of opinions, or the fragmentation of the network in communities.作者: 皺痕 時間: 2025-3-31 19:50 作者: FLAT 時間: 2025-4-1 01:34
