| 000 | 02446nam a22002297a 4500 | ||
|---|---|---|---|
| 005 | 20240217115257.0 | ||
| 008 | 240217b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781032063195 | ||
| 082 |
_a003 _bALE |
||
| 100 |
_aAleskerov, Fuad _914550 |
||
| 245 |
_aNew centrality measures in networks: _bhow to take into account the parameters of the nodes and group influence of nodes to nodes |
||
| 260 |
_bCRC Press _aBoca Raton _c2022 |
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| 300 | _axii, 101 p. | ||
| 365 |
_aGBP _b48.99 |
||
| 490 | _aCRC Focus Series | ||
| 520 | _aOver the last number of years there has been a growing interest in the analysis of complex networks which describe a wide range of real-world systems in nature and society. Identification of the central elements in such networks is one of the key research areas. Solutions to this problem are important for making strategic decisions and studying the behavior of dynamic processes, e.g. epidemic spread. The importance of nodes has been studied using various centrality measures. Generally, it should be considered that most real systems are not homogeneous: nodes may have individual attributes and influence each other in groups while connections between nodes may describe different types of relations. Thus, critical nodes detection is not a straightforward process. New Centrality Measures in Networks presents a class of new centrality measures which take into account individual attributes of nodes, the possibility of group influence and long-range interactions and discusses all their new features. The book provides a wide range of applications of network analysis in several fields – financial networks, international migration, global trade, global food network, arms transfers, networks of terrorist groups, and networks of international journals in economics. Real-world studies of networks indicate that the proposed centrality measures can identify important nodes in different applications. Starting from the basic ideas, the development of the indices and their advantages compared to existing centrality measures are presented. (https://www.routledge.com/New-Centrality-Measures-in-Networks-How-to-Take-into-Account-the-Parameters/Aleskerov-Shvydun-Meshcheryakova/p/book/9781032063195) | ||
| 650 |
_aCentrality (Graph theory)--System analysis _916011 |
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| 650 |
_aMathematics _915517 |
||
| 700 |
_aShvydun, Sergey _916012 |
||
| 700 |
_aMeshcheryakova, Natalia _916013 |
||
| 942 |
_cBK _2ddc |
||
| 999 |
_c6309 _d6309 |
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