How to predict social relationships — Physics-inspired approach to link prediction
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/06/01
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Indian UGC (journal)
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Refrences103
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Citations21
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Akanda Wahid-Ul-Ashraf
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Marcin Budka
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Katarzyna Musial
Cite
Wahid-Ul-Ashraf, Akanda, et al. “How to Predict Social Relationships — Physics-Inspired Approach to Link Prediction”. Physica A: Statistical Mechanics and Its Applications, vol. 523, 2019, pp. 1110-29, https://doi.org/10.1016/j.physa.2019.04.246.
Wahid-Ul-Ashraf, A., Budka, M., & Musial, K. (2019). How to predict social relationships — Physics-inspired approach to link prediction. Physica A: Statistical Mechanics and Its Applications, 523, 1110-1129. https://doi.org/10.1016/j.physa.2019.04.246
Wahid-Ul-Ashraf A, Budka M, Musial K. How to predict social relationships — Physics-inspired approach to link prediction. Physica A: Statistical Mechanics and its Applications. 2019;523:1110-29.
Journal Category
Science
Physics
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| Title | Journal | Journal Categories | Citations | Publication Date |
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Towards Digital Twin-Oriented Complex Networked Systems: Introducing heterogeneous node features and interaction rules | PLOS ONE |
| 2024 | |
| Deep non-negative matrix factorization with edge generator for link prediction in complex networks | Applied Intelligence |
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Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 8
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Predicting missing links in directed complex networks: A linear programming method and was published in 2020. The most recent citation comes from a 2024 study titled Towards Digital Twin-Oriented Complex Networked Systems: Introducing heterogeneous node features and interaction rules. This article reached its peak citation in 2022, with 7 citations. It has been cited in 19 different journals, 21% of which are open access. Among related journals, the IEEE Access cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.