Mining Complex Networks.
This book concentrates on mining networks, a subfield within data science. Data science uses scientific and computational tools to extract valuable knowledge from large data sets. Once data is processed and cleaned, it is analyzed and presented to support decision making processes. Data science and...
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Full Text (via Taylor & Francis) |
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| Main Author: | |
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
Chapman and Hall/CRC,
2021.
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| Edition: | First edition. |
| Subjects: |
Table of Contents:
- Preface I Core Material 1. Graph Theory2. Random Graph Models3. Centrality Measures4. Degree Correlations5.Community Detection6. Graph Embeddings7. HypergraphsII Complementary Material8. Detecting Overlapping Communities9. Embedding Graphs10.Network Robustness11. Road Networks.