Structural roles define sets of structurally similar nodes that are more similar to nodes inside
the set than outside, whereas communities define sets of nodes with more connections …

Detecting communities (or modular structures) and structural hole spanners, the nodes
bridging different communities in a network, are two essential tasks in the realm of network …

Currently, information diffusion on online platforms plays an important role in social
governance. Opinions contained in information have a significant influence on information …

As one of the main contents of influence analysis, influence maximization is selecting a
group of influential nodes with specified size in a given network to form a seed node set, and …

Due to easy and cost-effective ways, communication has amplified many folds among
humans across the globe irrespective of time and geographic location. This has led to the …

Influence Maximization (IM) is the task of determining k optimal influential nodes in a social
network to maximize the influence spread using a propagation model. IM is a prominent …

Block modeling algorithms are used to discover important latent structures in graphs. They
are the graph equivalent of clustering algorithms. However, existing block modeling …

The driving force behind content dissemination in Social network (SN) is the users' interest
in the content, which is strongly reflected in their interactions. Obviously, user interest varies …

Certain real-life networks have a community structure in which communities overlap. For
example, a typical bus network includes bus stops (nodes), which belong to one or more bus …

As an important research field of social network analysis, influence maximization problem is
targeted at selecting a small group of influential nodes such that the spread of influence …