Bipartite networks have attracted considerable interest in various fields. Fractality and multifractality of unipartite (classical) networks have been studied in recent years, but there is no work to study these properties of bipartite networks. In this paper, we try to unfold the self-similarity structure of bipartite networks by performing the fractal and multifractal analyses for a variety o...

Netpredictor is an R package for prediction of missing links in any given bipartite network. The package provides utilities to compute missing links in a bipartite and well as unipartite networks using Random Walk with Restart and Network inference algorithm. The package also allows computation of Bipartite network properties, visualization of communities for two different sets of nodes, and ca...

Community detection in complex networks is a topic of high interest in many fields. Bipartite networks are a special type of complex networks in which nodes are decomposed into two disjoint sets, and only nodes between the two sets can be connected. Bipartite networks represent diverse interaction patterns in many real-world systems, such as predator-prey networks, plant-pollinator networks, an...

The hierarchical hypercube network is suitable for massively parallel systems. The number of links in the hierarchical hypercube network forms a compromise between those of the hypercube and the cube-connected cycles. Recently, some interesting properties of the hierarchical hypercube network were investigated. Since the hierarchical hypercube is bipartite. A bipartite graph is bipancyclic if i...

Bipartite networks are powerful descriptions of complex systems characterized by two different classes of nodes and connections allowed only across but notwithin the two classes. Unveiling physical principles, building theories and suggesting physicalmodels to predict bipartite links such as productconsumer connections in recommendation systems or drug–target interactions inmolecular networks c...

In this paper we study minimum flow algorithms in bipartite networks with unit capacities combining the algorithms for minimum flow in bipartite networks with the algorithms for minimum flow in unit capacity networks. Key–Words: Network flows, minimum flow problem, unit capacity networks, bipartite networks, maximum cut.

Foursquare is an online social network and can be represented with a bipartite network of users and venues. A user-venue pair is connected if a user has checked-in at that venue. In the case of Foursquare, network analysis techniques can be used to enhance the user experience. One such technique is link prediction, which can be used to build a personalized recommendation system of venues. Recom...

Bipartite networks are an important category of complex networks in human social activities. Newman and Girvan proposed a measurement called modularity to evaluate community structure in unipartite networks called modularity. Due to the success of modularity in unipartite networks, bipartite modularity is developed according to different understandings of community in bipartite networks which a...