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Université de Fribourg

The effect of heterogeneous dynamics of online users on information filtering

Chen, Bo-Lun ; Zeng, An ; Chen, , Ling

In: Physics Letters A, 2015, vol. 379, no. 43–44, p. 2839–2844

The rapid expansion of the Internet requires effective information filtering techniques to extract the most essential and relevant information for online users. Many recommendation algorithms have been proposed to predict the future items that a given user might be interested in. However, there is an important issue that has always been ignored so far in related works, namely the heterogeneous...

Université de Fribourg

Identifying missing and spurious connections via the bi-directional diffusion on bipartite networks

Zhang, Peng ; Zeng, An ; Fan, Ying

In: Physics Letters A, 2014, vol. 378, no. 32–33, p. 2350–2354

Link prediction and spurious link detection in complex networks have attracted increasing attention from both physical and computer science communities, due to their wide applications in many real systems. Related previous works mainly focus on monopartite networks while these problems in bipartite networks are not yet systematically addressed. Containing two different kinds of nodes, bipartite...