Blockmodeling Linked Networks
This chapter introduces blockmodeling of linked networks. Essentially, it is shown that the multilevel blockmodeling approach can also be used for other types of linked networks. The main goal of blockmodeling linked networks is to cluster nodes from all sets while taking all available information i...
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| Veröffentlicht in: | Advances in Network Clustering and Blockmodeling S. 267 - 287 |
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| 1. Verfasser: | |
| Format: | Buchkapitel |
| Sprache: | Englisch |
| Veröffentlicht: |
United Kingdom
John Wiley & Sons, Incorporated
2020
John Wiley & Sons, Ltd |
| Schlagworte: | |
| ISBN: | 9781119224709, 1119224705 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | This chapter introduces blockmodeling of linked networks. Essentially, it is shown that the multilevel blockmodeling approach can also be used for other types of linked networks. The main goal of blockmodeling linked networks is to cluster nodes from all sets while taking all available information into account. By blockmodeling linked networks, the authors wish to blockmodel all one‐mode and two‐mode networks simultaneously so as to obtain one clustering for nodes from each set (although they occur in one one‐mode network and at least one two‐mode network). For networks measured at several time points, approaches within stochastic blockmodeling have been developed. The authors develop the approach to blockmodeling linked networks based on the multilevel blockmodeling approach. Examples of blockmodeling for two types of linked networks (a multilevel network and a network measured at several time points) are also presented. |
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| ISBN: | 9781119224709 1119224705 |
| DOI: | 10.1002/9781119483298.ch10 |

