標(biāo)題: Titlebook: Complex Networks and Their Applications VIII; Volume 1 Proceedings Hocine Cherifi,Sabrina Gaito,Luis Mateus Rocha Conference proceedings 20 [打印本頁(yè)] 作者: 我要黑暗 時(shí)間: 2025-3-21 20:07
書目名稱Complex Networks and Their Applications VIII影響因子(影響力)
書目名稱Complex Networks and Their Applications VIII影響因子(影響力)學(xué)科排名
書目名稱Complex Networks and Their Applications VIII網(wǎng)絡(luò)公開度
書目名稱Complex Networks and Their Applications VIII網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Complex Networks and Their Applications VIII被引頻次
書目名稱Complex Networks and Their Applications VIII被引頻次學(xué)科排名
書目名稱Complex Networks and Their Applications VIII年度引用
書目名稱Complex Networks and Their Applications VIII年度引用學(xué)科排名
書目名稱Complex Networks and Their Applications VIII讀者反饋
書目名稱Complex Networks and Their Applications VIII讀者反饋學(xué)科排名
作者: HEAVY 時(shí)間: 2025-3-21 23:53
The Densest , Subgraph Problem in?,-Outerplanar Graphs. subgraph in .-outerplanar graphs. Often, when there is an exact polynomial time algorithm for a problem on .-outerplanar graphs, this algorithm can be extended to a polynomial time approximation scheme (PTAS) on planar graphs using Baker’s technique. We hypothesize that this is not possible for the densest . subgraph problem.作者: 不斷的變動(dòng) 時(shí)間: 2025-3-22 01:10 作者: declamation 時(shí)間: 2025-3-22 06:20
Schlussbetrachtungen und Implikationen,etric properties of networks. In this paper, we study the diffusion of PageRank: how varying the jumping (or teleportation) constant affects PageRank values. To this end, we prove a gradient estimate for PageRank, akin to the Li-Yau inequality for positive solutions to the heat equation (for manifolds, with later versions adapted to graphs).作者: 品嘗你的人 時(shí)間: 2025-3-22 09:54 作者: 狗舍 時(shí)間: 2025-3-22 14:35 作者: 狗舍 時(shí)間: 2025-3-22 17:09
Schlussbetrachtungen und Implikationen,etric properties of networks. In this paper, we study the diffusion of PageRank: how varying the jumping (or teleportation) constant affects PageRank values. To this end, we prove a gradient estimate for PageRank, akin to the Li-Yau inequality for positive solutions to the heat equation (for manifol作者: FAST 時(shí)間: 2025-3-23 00:05 作者: 載貨清單 時(shí)間: 2025-3-23 04:42
Marketing und Innovationsmanagement. It has been observed that the robustness mainly depends on the network structure, the centrality measure, and the type of error. Previous findings regarding the influence of network size on robustness are, however, inconclusive..Based on twenty-four empirical networks, we investigate the relations作者: DEMUR 時(shí)間: 2025-3-23 06:46 作者: Carcinogen 時(shí)間: 2025-3-23 09:59
Matthias Bruhn,Gabriele Bickendorfed on closeness centrality while considering the target city a spatial network. When placing a new facility in a local area, locating it with high accessibility for neighboring residents can attract customers from existing facilities and expand its own trading area. In addition, when there are multi作者: Corporeal 時(shí)間: 2025-3-23 17:04 作者: 冒失 時(shí)間: 2025-3-23 20:03
https://doi.org/10.1007/978-3-531-91912-6d is finding multipartite partitions (vertex colorings). In network mining, the technique of community detection can be thought of as a relaxation of component finding. The results are groups that are all tightly connected but with some few connections between the groups. One can also envision a rel作者: Infusion 時(shí)間: 2025-3-24 00:49
,Gro?projekte und lokale Demokratie,. subgraph in .-outerplanar graphs. Often, when there is an exact polynomial time algorithm for a problem on .-outerplanar graphs, this algorithm can be extended to a polynomial time approximation scheme (PTAS) on planar graphs using Baker’s technique. We hypothesize that this is not possible for th作者: VEN 時(shí)間: 2025-3-24 03:37
https://doi.org/10.1007/978-3-531-93490-7 This paper proposes a novel scalable node sampling algorithm for large graphs that can achieve better . or diversity across communities intrinsic to the graph without requiring any costly pre-processing steps. The proposed method leverages a simple iterative sampling technique controlled by two par作者: 形上升才刺激 時(shí)間: 2025-3-24 10:34
Stadt als lokaler Lebenszusammenhang social network analysis task. We address such a problem by introducing ., a bottom-up low complexity algorithm designed to identify network hidden mesoscale topologies by optimizing structural and attribute-homophilic clustering criteria. We evaluate the proposed approach on heterogeneous real-worl作者: 有機(jī)體 時(shí)間: 2025-3-24 13:24
https://doi.org/10.1007/978-3-662-48990-1th the aim of identifying communities in complex networks, each one searching for mesoscale topologies having different and peculiar characteristics. Among such vast literature, an interesting family of Community Discovery algorithms, designed for the analysis of social network data, is represented 作者: 深陷 時(shí)間: 2025-3-24 18:14
Karin Gruhler,Ulrich Schumacherrmance on weak communities: Does leximin, in finding the trivial singletons clustering, truly outperform eight other community detection methods? Three NMI improvements from the literature are AMI, rrNMI, and cNMI. We show equivalences under relevant random models, and . . . (all partitions of . nod作者: 經(jīng)典 時(shí)間: 2025-3-24 19:49
Lothar Bertels,Thomas Brüsemeisterous result for community detection by [.] relies on a mismatch between the loss function and the problem domain. The loss function computes an expectation over only a subset of the universe of possible outputs; thus, it is only . appropriate with respect to the problem size. By using the correct ran作者: Outshine 時(shí)間: 2025-3-25 02:07 作者: pulse-pressure 時(shí)間: 2025-3-25 04:06 作者: HERTZ 時(shí)間: 2025-3-25 08:20 作者: 貪婪地吃 時(shí)間: 2025-3-25 15:12
Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/231508.jpg作者: Gudgeon 時(shí)間: 2025-3-25 17:38 作者: farewell 時(shí)間: 2025-3-25 22:49 作者: 地名表 時(shí)間: 2025-3-26 01:42 作者: 溫順 時(shí)間: 2025-3-26 05:26
Marketing und Innovationsmanagement with an increasing average degree, the robustness also increases..As a first step into an analytical discussion, we prove that for ER networks of different size but with the same average degree, the robustness of the degree centrality remains stable.作者: 有毒 時(shí)間: 2025-3-26 12:27
Matthias Bruhn,Gabriele Bickendorff a new facility. From experimental evaluations using actual data, i.e., road networks and location information of convenience stores in four cities, we confirm that the proposed measure can extract different candidate locations for each group in consideration of the positional relationship with nod作者: 憤世嫉俗者 時(shí)間: 2025-3-26 15:50 作者: paleolithic 時(shí)間: 2025-3-26 18:10
The Role of Network Size for the Robustness of Centrality Measures with an increasing average degree, the robustness also increases..As a first step into an analytical discussion, we prove that for ER networks of different size but with the same average degree, the robustness of the degree centrality remains stable.作者: 使糾纏 時(shí)間: 2025-3-26 21:14 作者: Bronchial-Tubes 時(shí)間: 2025-3-27 01:39
1860-949X ications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks..978-3-030-36689-6978-3-030-36687-2Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 體貼 時(shí)間: 2025-3-27 07:58
,Polarisierung der St?dte im neuen Europa,roximation theory. We studied the problem on both synthetic and real data and tested the performance comparing with state-of-the-art methods. We show that approximations obtained from such methods are not always reliable and that our algorithm, while preserving computational scalability, improves performance under some relevant error measures.作者: guardianship 時(shí)間: 2025-3-27 12:19
https://doi.org/10.1007/978-3-531-91912-6axation of multipartite partitions such that the groups have very few connections within the group but most of the links connect nodes in different groups. These groups, called ., are discussed and three new algorithms are introduced to detect them.作者: 釘牢 時(shí)間: 2025-3-27 15:59
Conference proceedings 2020mics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks..作者: Range-Of-Motion 時(shí)間: 2025-3-27 18:55 作者: 改良 時(shí)間: 2025-3-27 23:35
https://doi.org/10.1007/978-3-662-48990-1world datasets, against state of the art community discovery algorithms designed for the same community definition. Our experiments underline the effectiveness and efficiency of the proposed methodology, confirmed by its ability to constantly outperform the identified competitors.作者: incontinence 時(shí)間: 2025-3-28 05:35
,Unterschiede in der Arenaf?rbung, able to unveil, track, and measure the importance of main actors, network intra and inter-community structural hierarchies based on a centrality measure. The empirical analysis performed, using two temporal networks shown that the method is able to find and tracking community leaders in evolving networks.作者: 軍火 時(shí)間: 2025-3-28 06:24 作者: DUCE 時(shí)間: 2025-3-28 13:07
Exorcising the Demon: Angel, Efficient Node-Centric Community Discoveryworld datasets, against state of the art community discovery algorithms designed for the same community definition. Our experiments underline the effectiveness and efficiency of the proposed methodology, confirmed by its ability to constantly outperform the identified competitors.作者: 冒號(hào) 時(shí)間: 2025-3-28 15:14 作者: 有幫助 時(shí)間: 2025-3-28 22:02 作者: 墊子 時(shí)間: 2025-3-29 02:09 作者: assent 時(shí)間: 2025-3-29 06:43
Stadt im Blick der Kommunalwissenschaft measure to estimate the average cohesion across nodes. Link cohesion and the density measure are employed to demonstrate community detection through graph sparsification by maximizing graph density. Link cohesion is also shown to be loosely correlated with edge betweenness centrality.作者: 壯麗的去 時(shí)間: 2025-3-29 10:33 作者: 令人作嘔 時(shí)間: 2025-3-29 14:09 作者: Albumin 時(shí)間: 2025-3-29 16:10
Novel Edge and Density Metrics for Link Cohesion measure to estimate the average cohesion across nodes. Link cohesion and the density measure are employed to demonstrate community detection through graph sparsification by maximizing graph density. Link cohesion is also shown to be loosely correlated with edge betweenness centrality.作者: ODIUM 時(shí)間: 2025-3-29 22:43 作者: Habituate 時(shí)間: 2025-3-30 01:34 作者: 宿醉 時(shí)間: 2025-3-30 07:49
Lothar Bertels,Thomas Brüsemeistertioning tasks including core–periphery separation, .-clustering, and graph partitioning. Finally, we review the literature of proposed evaluation functions and identify functions which (perhaps with slight modifications) are compatible with an exact No Free Lunch theorem.作者: Receive 時(shí)間: 2025-3-30 10:38 作者: AVANT 時(shí)間: 2025-3-30 14:02
: Attribute-Aware Network Segmentationperimental results underline that . ensures that network nodes are grouped into communities according to their attribute similarity without considerably degrading partition modularity, both in single and multi node-attribute scenarios.作者: 脾氣暴躁的人 時(shí)間: 2025-3-30 18:40 作者: 暫時(shí)別動(dòng) 時(shí)間: 2025-3-30 21:21 作者: Debate 時(shí)間: 2025-3-31 03:14 作者: Clumsy 時(shí)間: 2025-3-31 05:36 作者: 過份 時(shí)間: 2025-3-31 11:25 作者: Conflict 時(shí)間: 2025-3-31 16:09
