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11#
發(fā)表于 2025-3-23 11:20:59 | 只看該作者
https://doi.org/10.1007/978-3-662-57852-0While most graphs found naturally share many features (such as the small-world phenomenon), there are some specifics associated with each. These might reflect properties or constraints of the domain to which the graph belongs. We will discuss some well-known graphs and their specific features below.
12#
發(fā)表于 2025-3-23 17:06:03 | 只看該作者
13#
發(fā)表于 2025-3-23 20:17:08 | 只看該作者
https://doi.org/10.1007/978-3-662-08753-4We have seen many graph generators in the preceding pages. Is any generator the “best?” Which one should we use?
14#
發(fā)表于 2025-3-23 23:16:02 | 只看該作者
https://doi.org/10.1007/978-3-662-08758-9Here we review some powerful tools and, specifically, the singular value decomposition (SVD) of a matrix, its uses for ranking in web queries, and its extension to multi-mode matrices (“tensors”). Table 14.1 gives a list of symbols and the definitions we use.
15#
發(fā)表于 2025-3-24 05:11:47 | 只看該作者
16#
發(fā)表于 2025-3-24 09:19:00 | 只看該作者
17#
發(fā)表于 2025-3-24 12:45:11 | 只看該作者
Patterns in Evolving GraphsSo far we studied static patterns: given a graph, what are the regularities we can observe? Here we study time evolving graphs, such as patents citing each other (and new patents arriving continuously), autonomous system connecting to each other (with new or dropped connections, as time passes), and so on.
18#
發(fā)表于 2025-3-24 17:00:00 | 只看該作者
19#
發(fā)表于 2025-3-24 21:25:42 | 只看該作者
20#
發(fā)表于 2025-3-25 00:44:37 | 只看該作者
Summary and Practitioner’s GuideWe have seen many graph generators in the preceding pages. Is any generator the “best?” Which one should we use?
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