Academic Journal
A Methodology for Evaluating Algorithms That Calculate Social Influence in Complex Social Networks
| العنوان: | A Methodology for Evaluating Algorithms That Calculate Social Influence in Complex Social Networks |
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| المؤلفون: | Vanja Smailovic, Vedran Podobnik, Ignac Lovrek |
| المصدر: | Complexity, Vol 2018 (2018) |
| بيانات النشر: | Hindawi-Wiley, 2018. |
| سنة النشر: | 2018 |
| المجموعة: | LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | Online social networks are complex systems often involving millions or even billions of users. Understanding the dynamics of a social network requires analysing characteristics of the network (in its entirety) and the users (as individuals). This paper focuses on calculating user’s social influence, which depends on (i) the user’s positioning in the social network and (ii) interactions between the user and all other users in the social network. Given that data on all users in the social network is required to calculate social influence, something not applicable for today’s social networks, alternative approaches relying on a limited set of data on users are necessary. However, these approaches introduce uncertainty in calculating (i.e., predicting) the value of social influence. Hence, a methodology is proposed for evaluating algorithms that calculate social influence in complex social networks; this is done by identifying the most accurate and precise algorithm. The proposed methodology extends the traditional ground truth approach, often used in descriptive statistics and machine learning. Use of the proposed methodology is demonstrated using a case study incorporating four algorithms for calculating a user’s social influence. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1076-2787 1099-0526 |
| Relation: | https://doaj.org/toc/1076-2787; https://doaj.org/toc/1099-0526 |
| DOI: | 10.1155/2018/1084795 |
| URL الوصول: | https://doaj.org/article/9bdc823e2c664490aa032d39fab0eb76 |
| رقم الانضمام: | edsdoj.9bdc823e2c664490aa032d39fab0eb76 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 10762787 10990526 |
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| DOI: | 10.1155/2018/1084795 |