Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGM
The statistical modeling of social network data needs much effort because of the complex dependence structure of the tie variables. In order to formulate such dependences, the statistical exponential families of distributions can provide a flexible structure. In this regard, the statistical charact...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Islamic Azad University, Qazvin Branch
2020-03-01
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| Series: | Journal of Optimization in Industrial Engineering |
| Subjects: | |
| Online Access: | http://www.qjie.ir/article_667925_6becd8089b37760b60fe9dc631fb50aa.pdf |
| _version_ | 1818457004195184640 |
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| author | Farshid Rajabi Abbas Saghaei Soheil Sadinejad |
| author_facet | Farshid Rajabi Abbas Saghaei Soheil Sadinejad |
| author_sort | Farshid Rajabi |
| collection | DOAJ |
| description | The statistical modeling of social network data needs much effort because of the complex dependence structure of the tie variables. In order to formulate such dependences, the statistical exponential families of distributions can provide a flexible structure. In this regard, the statistical characteristics of the network is provided to be encapsulated within an Exponential Random Graph Model (ERGM). Applying the ERGM, in this paper, we follow to design a statistical process control through network behavior. The results demonstrated the superiority of the designed chart over the existing change detection methods in controlling the states. Additionally, the detection process is formulated for the social networks and the results are statistically analyzed. |
| first_indexed | 2024-12-14T22:35:40Z |
| format | Article |
| id | doaj.art-1c9a0d6eb40043a990eb3fd3a0f9aed4 |
| institution | Directory Open Access Journal |
| issn | 2251-9904 2423-3935 |
| language | English |
| last_indexed | 2024-12-14T22:35:40Z |
| publishDate | 2020-03-01 |
| publisher | Islamic Azad University, Qazvin Branch |
| record_format | Article |
| series | Journal of Optimization in Industrial Engineering |
| spelling | doaj.art-1c9a0d6eb40043a990eb3fd3a0f9aed42022-12-21T22:45:09ZengIslamic Azad University, Qazvin BranchJournal of Optimization in Industrial Engineering2251-99042423-39352020-03-0113113114310.22094/joie.2019.581174.1615667925Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGMFarshid Rajabi0Abbas Saghaei1Soheil Sadinejad2Industrial Engineering Department, School of Engineering, Science and Research Branch, Islamic Azad University (Hesarak Ave. Ashrafi Esfehani blvd.), Tehran, Iran.Industrial Engineering Department, School of Engineering, Science and Research Branch, Islamic Azad University (Hesarak Ave. Ashrafi Esfehani blvd.), Tehran, Iran.Industrial Engineering Department, School of Engineering, Science and Research Branch, Islamic Azad University (Hesarak Ave. Ashrafi Esfehani blvd.), Tehran, Iran.The statistical modeling of social network data needs much effort because of the complex dependence structure of the tie variables. In order to formulate such dependences, the statistical exponential families of distributions can provide a flexible structure. In this regard, the statistical characteristics of the network is provided to be encapsulated within an Exponential Random Graph Model (ERGM). Applying the ERGM, in this paper, we follow to design a statistical process control through network behavior. The results demonstrated the superiority of the designed chart over the existing change detection methods in controlling the states. Additionally, the detection process is formulated for the social networks and the results are statistically analyzed.http://www.qjie.ir/article_667925_6becd8089b37760b60fe9dc631fb50aa.pdfstatistical process controlergmsocial networkchange detection |
| spellingShingle | Farshid Rajabi Abbas Saghaei Soheil Sadinejad Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGM Journal of Optimization in Industrial Engineering statistical process control ergm social network change detection |
| title | Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGM |
| title_full | Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGM |
| title_fullStr | Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGM |
| title_full_unstemmed | Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGM |
| title_short | Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGM |
| title_sort | monitoring of social network and change detection by applying statistical process ergm |
| topic | statistical process control ergm social network change detection |
| url | http://www.qjie.ir/article_667925_6becd8089b37760b60fe9dc631fb50aa.pdf |
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