Arresting Strategy Based on Dynamic Criminal Networks Changing over Time
We investigate a sequence of dynamic criminal networks on a time series based on the dynamic network analysis (DNA). According to the change of networks’ structure, networks’ variation trend is analyzed to forecast its future structure. Finally, an optimal arresting time and priority list are design...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2013/296729 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850237339325956096 |
|---|---|
| author | Junqing Yuan Jinde Cao Bila Xia |
| author_facet | Junqing Yuan Jinde Cao Bila Xia |
| author_sort | Junqing Yuan |
| collection | DOAJ |
| description | We investigate a sequence of dynamic criminal networks on a time series based on the dynamic network analysis (DNA). According to the change of networks’ structure, networks’ variation trend is analyzed to forecast its future structure. Finally, an optimal arresting time and priority list are designed based on our analysis. Better results can be expected than that based on social network analysis (SNA). |
| format | Article |
| id | doaj-art-009c0713fcf4453fbf5ffb11c37c3cbb |
| institution | OA Journals |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-009c0713fcf4453fbf5ffb11c37c3cbb2025-08-20T02:01:46ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/296729296729Arresting Strategy Based on Dynamic Criminal Networks Changing over TimeJunqing Yuan0Jinde Cao1Bila Xia2Department of Mathematics, Southeast University, Nanjing, Jiangsu 210096, ChinaDepartment of Mathematics, Southeast University, Nanjing, Jiangsu 210096, ChinaNew Star Institute of Applied Technology, No. 451 Huangshan Road, Hefei, Anhui 230031, ChinaWe investigate a sequence of dynamic criminal networks on a time series based on the dynamic network analysis (DNA). According to the change of networks’ structure, networks’ variation trend is analyzed to forecast its future structure. Finally, an optimal arresting time and priority list are designed based on our analysis. Better results can be expected than that based on social network analysis (SNA).http://dx.doi.org/10.1155/2013/296729 |
| spellingShingle | Junqing Yuan Jinde Cao Bila Xia Arresting Strategy Based on Dynamic Criminal Networks Changing over Time Discrete Dynamics in Nature and Society |
| title | Arresting Strategy Based on Dynamic Criminal Networks Changing over Time |
| title_full | Arresting Strategy Based on Dynamic Criminal Networks Changing over Time |
| title_fullStr | Arresting Strategy Based on Dynamic Criminal Networks Changing over Time |
| title_full_unstemmed | Arresting Strategy Based on Dynamic Criminal Networks Changing over Time |
| title_short | Arresting Strategy Based on Dynamic Criminal Networks Changing over Time |
| title_sort | arresting strategy based on dynamic criminal networks changing over time |
| url | http://dx.doi.org/10.1155/2013/296729 |
| work_keys_str_mv | AT junqingyuan arrestingstrategybasedondynamiccriminalnetworkschangingovertime AT jindecao arrestingstrategybasedondynamiccriminalnetworkschangingovertime AT bilaxia arrestingstrategybasedondynamiccriminalnetworkschangingovertime |