The pervasive diffusion of Social Networks (SN) produced an unprecedented amount of
heterogeneous data. Thus, traditional approaches quickly became unpractical for real life …

There are three approaches in the current social network analysis study: Graph
Representation, Content Mining, and Semantic Analysis. Graph Representation has been …

We introduce an original mathematical model to analyze the diffusion of posts within a
generic online social platform. The main novelty is that each user is not simply considered …

Recently, dynamic social network research has attracted a great amount of attention,
especially in the area of anomaly analysis that analyzes the anomalous change in the …

Incorporate social network analysis (SNA) into monitoring, evaluation, and learning
processes. SNA can be conducted at various points of a project to inform program design …

Real-world complex systems can be modeled as homogeneous or heterogeneous graphs
composed by nodes connected by edges. The importance of nodes and edges is formally …

We seek to identify one or more computationally light-weight centrality metrics that have a
high correlation with that of the maximal clique size (the maximum size of the clique a node …

A method may include presenting a graphical user interface (GUI) configured to define a
network for analysis, the GUI including: a first portion configured to define a network …

Enterprises are collecting, procuring, storing, and processing increasing quantities of Big
Data. This facilitates the detection of new insights that are capable of driving more efficient …

The growth in technological and computational knowledge have opened several new paths
of innovation for humanity, but at the same time it exposed the lacking nature of our current …