Metabolic network modeling of microbial communities provides an in-depth understanding of community-wide metabolic and regulatory processes. Compared to single organism analyses, community metabolic network modeling is more complex because it needs to account for interspecies interactions. To date, most approaches focus on reconstruction of high-quality individual networks so that, when combine...

Online communities can have positive effects onsocial capital and ultimately on organisational performance. Theformer is of great importance to non-profit organisations in thethird sector, for which it is a key component of their success.This paper starts by defining a community. It then discusses theimportance and potential of virtual communities of practice forthe thir...

Today, more and more physical communities of practice, a concept that describes a group of people that share a passion and interact regularly at events to exchange knowledge, utilize social media, such as Twitter. Brotaru, for instance, is such a physical community of practice for media professionals in Brussels. It is a monthly meet-up of videogame developers in various locations in Brussels. ...

Social networking sites became very popular since the introduction of Six Degrees in 1997 and companies started to utilize them to build online communities. This research aims to further understand online communities by analyzing the network structure and composition of Twitter follower networks. An explorative analysis is conducted on the Twitter follower network of Europe’s twenty-five larges...

In mobile social network, detecting community structure reduces a complexity of the network consisted of large datasets, which is important to manage and understand components of the network. Link Community Detection (LCD) is a method that finds out community structure using similarity between two neighboring edges and partition density. Communities detected by this method can have overlapping ...

Multi-scale (“multiresolution”) community detection attempts to identify the most relevant divisions (groups of related nodes) of an arbitrary network over a range of network scales. This task is generally accomplished by analyzing community stability in an average sense across all communities in the network. In some systems, contending partitions of the global community structure may be vague ...

With the increasing number of airports and expansion their scale, aviation network has become complex hierarchical. In order to investigate characteristics networks, this paper constructs a Chinese model carries out related research based on theory K-means algorithm. Initially, P-space is employed construct model. Then, indicators such as degree, clustering coefficient, average path length, bet...

Departing from prior research analyzing the implications of social structure for actors’ outcomes by applying either an ego network or a global network perspective, this study examines the implications of network communities for the invention productivity of firms. Network communities represent dense and nonoverlapping structural groups of actors in a social system. A network community lens hel...

Community detection is a commonly used technique for identifying groups in a network based on similarities in connectivity patterns. To facilitate community detection in large networks, we recast the network to be partitioned into a smaller network of ‘super nodes’, each super node comprising one or more nodes in the original network. To define the seeds of our super nodes, we apply the ‘CoreHD...