Link prediction in complex networks via modularity-based belief propagation<xref rid="cpb_26_3_038902_fn1" ref-type="fn">*</xref> <fn id="cpb_26_3_038902_fn1"> <label>*</label> <p>Project supported by the National Natural Science Foundation of China (Grants No. 61202262), the Natural Science Foundation of Jiangsu Province, China (Grants No. BK2012328), and the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grants No. 20120092120034).</p> </fn>

Link prediction in complex networks via modularity-based belief propagation* *

Project supported by the National Natural Science Foundation of China (Grants No. 61202262), the Natural Science Foundation of Jiangsu Province, China (Grants No. BK2012328), and the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grants No. 20120092120034).

Lai Darong^{1, 2, †}, Shu Xin³, Nardini Christine^{4, 5}

(color online) Comparisons on the performance of link prediction in dphNet ((a)–(c)) and sfiNet ((d)–(f)), where BMPA was compared with RA, AA, CN, and PA. Each point is averaged by repeating the experiments 100 times.