Social network analysis (SNA) investigates social structures through the use of networks and graph theory.
Graph Algorithms or Graph Analytics are analytic tools used to determine the strength and direction of relationships between objects in a graph. The focus of graph analytics is on the pairwise relationship between two objects at a time and the structural characteristics of the graph as a whole.
Neo4j is a graph database management system developed by Neo4j, Inc. Described by its developers as an ACID-compliant transactional database with native graph storage and processing. Neo4j facilitates personal data storage and management: it allows you to track where private information is stored and which systems, applications, and users access it. The graph data model helps visualize personal data and allows for data analysis and pattern detection.
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. It provides:
tools for the study of the structure and dynamics of social,
biological, and infrastructure networks;
a standard programming interface and graph implementation that is
suitable for many applications;
a rapid development environment for collaborative, multidisciplinary
an interface to existing numerical algorithms and code written in C,
C++, and FORTRAN; and
the ability to painlessly work with large nonstandard data sets.
With NetworkX you can load and store networks in standard and nonstandard data formats, generate many types of random and classic networks, analyze network structure, build network models, design new network algorithms, draw networks, and much more.