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Titlebook: Algorithms and Models for the Web Graph; 17th International W Bogumi? Kamiński,Pawe? Pra?at,Przemys?aw Szufel Conference proceedings 2020 S

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21#
發(fā)表于 2025-3-25 05:21:46 | 只看該作者
,Gewerbliche Besch?ftigung der Jugendlichen,tion of adjacent nodes. This yields a simple analytical formula for the model assortativity, and opens up ways to analyze rank correlation coefficients suitable for random graphs with heavy-tailed degree distributions.
22#
發(fā)表于 2025-3-25 08:23:20 | 只看該作者
23#
發(fā)表于 2025-3-25 15:44:25 | 只看該作者
Hypergraph Analytics of Domain Name System Relationships,n network science, to better model complex multiway relations in cyber data. Specifically, casting DNS data from Georgia Tech’s ActiveDNS repository as hypergraphs allows us to fully represent the interactions between . of domains and IP addresses. To facilitate large-scale analytics, we fielded an
24#
發(fā)表于 2025-3-25 19:44:08 | 只看該作者
Global Graph Curvature,a given dataset is still an open problem. In this paper, we define a notion of ., specifically catered to the problem of embedding graphs. We theoretically analyze this value and show that the optimal curvature essentially depends on the dimensionality of the embedding space and loss function one ai
25#
發(fā)表于 2025-3-25 21:35:26 | 只看該作者
Information Diffusion in Complex Networks: A Model Based on Hypergraphs and Its Analysis,nships to other nodes but with groups of nodes of arbitrary size. A challenging problem that arises in this domain is to determine a small subset of nodes . (.) able to spread their influence in the whole network. This problem has been formalized and studied in different ways, and many viable soluti
26#
發(fā)表于 2025-3-26 00:39:30 | 只看該作者
A Scalable Unsupervised Framework for Comparing Graph Embeddings, relationship, and other relevant information about the graph, its subgraphs, and vertices. If these objectives are achieved, an embedding is a meaningful, understandable, and often compressed representations of a network. Unfortunately, selecting the best embedding is a challenging task and very of
27#
發(fā)表于 2025-3-26 04:50:15 | 只看該作者
28#
發(fā)表于 2025-3-26 09:29:58 | 只看該作者
The Iterated Local Directed Transitivity Model for Social Networks,tivity (ILDT) model, new nodes are born over discrete time-steps and inherit the link structure of their parent nodes. The ILDT model may be viewed as a directed graph analog of the ILT model for undirected graphs introduced in [.]. We investigate network science and graph-theoretical properties of
29#
發(fā)表于 2025-3-26 16:37:38 | 只看該作者
30#
發(fā)表于 2025-3-26 18:34:02 | 只看該作者
Iterated Global Models for Complex Networks,y set . of nodes of a prescribed cardinality, we add a new node that is adjacent to every node in .. We focus on the case where the size of . is approximately half the number of nodes at each time-step, and we refer to this as the half-model. The half-model provably generate graphs that densify over
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