2019
DOI: 10.1016/j.future.2017.08.037
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Negative sign prediction for signed social networks

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Cited by 17 publications
(7 citation statements)
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“…To further test the performance of prediction of model, it is compared with the existing approaches, such as the logistic regression (LR) proposed by Leskovec et al [4], the logistic regression based on three attributes (LR-3A) proposed by Yuan et al [9], the supervised learning based on higher order cycles (HOC) proposed by Chiang et al [19], the logistic regression based on Bayesian node properties (LR-BNP) proposed by Song et al [23], the troll-trust model based on ranking proposed by Wu et al [24], the logistic regression based on reputation and optimism (LR-RO) proposed by Shahriari et al [26], the measures of imbalance (MOI) and the matrix factorization (MF) studied by Chiang et al [15], the collaborative ltering (CF) introduced by Javari and Jalili [28] and the closed triple micro structure (CTMS) proposed by Khodadadi and Jalili [30]. e comparison results are shown in Table 5.…”
Section: Comparison Of Resultsmentioning
confidence: 99%
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“…To further test the performance of prediction of model, it is compared with the existing approaches, such as the logistic regression (LR) proposed by Leskovec et al [4], the logistic regression based on three attributes (LR-3A) proposed by Yuan et al [9], the supervised learning based on higher order cycles (HOC) proposed by Chiang et al [19], the logistic regression based on Bayesian node properties (LR-BNP) proposed by Song et al [23], the troll-trust model based on ranking proposed by Wu et al [24], the logistic regression based on reputation and optimism (LR-RO) proposed by Shahriari et al [26], the measures of imbalance (MOI) and the matrix factorization (MF) studied by Chiang et al [15], the collaborative ltering (CF) introduced by Javari and Jalili [28] and the closed triple micro structure (CTMS) proposed by Khodadadi and Jalili [30]. e comparison results are shown in Table 5.…”
Section: Comparison Of Resultsmentioning
confidence: 99%
“…LR [4] 0.9342 0.9351 0.8021 LR-3A [9] 0.9592 0.8892 0.8786 HOC-5 [19] 0.9080 0.8469 0.8605 LR-BNP [23] 0.9313 0.8565 0.8737 Toll-Trust [24] ≈ 0.96 ≈ 0.90 ≈ 0.89 LR-RO [26] 0.9582 0.9010 0.8880 MOI-10 [15] 0.8497 0.7850 0.8220 MF [15] 0.9448 0.8835 0.8839 CF [30] 0.9282 0.8258 0.8137 CTMS [30] 0 As for the skewness feature of actual datasets, is basically determined by the positive edges. erefore, the of the model is compared with the exiting algorithms, shown in Table 6.…”
Section: Epinions Slashdot Wikipediamentioning
confidence: 99%
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“…The details of the experimental datasets are given in Table 1. Accuracy and F1-score [38] are used to measure the sign prediction performances of the proposed method. Two baseline methods are used in this paper to compare with SP BBTL.…”
Section: Resultsmentioning
confidence: 99%