International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1394
12
1
gregorian
2016
3
1
8
1
online
1
fulltext
fa
Ensemble Link Predictor for Heterogeneous Complex Networks
فناوری اطلاعات
Information Technology
پژوهشي
Research
Link prediction in complex networks aims to explore similarities between node pairs. Recently, link prediction has been considered in the presence of network heterogeneity which makes the majority of the homogeneous link prediction approaches infeasible. A meta-structure, known as meta-path, has been proposed to explore such networks. Generating good meta-paths and selecting the best of them introduce some new challenges to link prediction problem. In this paper, a new ensemble-based link prediction approach is proposed in heterogeneous complex networks. This approach consists of three steps: (i) a set of meta-paths are selected such that each of them represents a different semantic between the target node pairs; (ii) a feature vector is extracted for each node pair using each meta-path; (iii) an ensemble of learners would be established on different feature sets. The final link predictor is obtained after the ensemble aggregation. The results on DBLP network show that the proposed approach has more accurate predictions than a single meta-path based link predictor.
Heterogeneous Complex Networks, Link Prediction, Meta-path
9
14
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-50&slc_lang=fa&sid=1
Hadi
Shakibian
1003194753284600170
1003194753284600170
Yes
Nasrollah
Moghadam Charkari
1003194753284600171
1003194753284600171
No
Saeed
Jalili
1003194753284600172
1003194753284600172
No