In this blog we will cover graph and graph databases, now a days graph databases is most demandable and used in recent type. It is the type of NoSQL database.
Graph is a data structure of the form G(V,E)
Graph edges may have weights and directions
Directed graphs may have cycles
Graphs can…
model pairwise relationships between people, objects, or nodes in a network
uncover insights about the strength and direction of the relationship
Some Graph Algorithms
Graph traversal:
* Depth-first search
* Breadth-first search
Shortest Path:
* Floyd-Warshall Algorithm
* Dijkstra’s Algorithm
* Bellman-Ford Algorithm
Maximum Flow:
* Maximum Bipartite Path
* Ford-Fulkerson Algorithm
* Edmonds-Karp Algorithm
Minimum Spanning Tree
* Prim’s Algorithm
* Kruskal’s Algorithm
Topological Sorting:
* Kahn’s Algorithm
Cycle Detection
Connectivity
* Minimum cut
Back-Tracking
Graph Isomorphism
Traveling Salesman Problem
Types of Graph Analytics
Path analysis: This type of analysis can be used to determine the shortest distance between two nodes in a graph, for example. An obvious use case is route optimization that is particularly applicable to logistics, supply and distribution chains and traffic optimization for smart cities.
Connectivity analysis: This type of graph analysis can be applied tor determining weaknesses in networks such as a utility power grid. It also enables comparing connectivity across networks.
Community analysis: Distance and density–based analysis is used to find groups of interacting people in a social network, for example, and identifying whether they are transient and predicting if the network will grow.
Centrality analysis: This analysis type enables identifying relevancy to find the most influential people in a social network, for example, or to find most highly accessed web pages—such as by using the PageRank algorithm
Graph Databases
Use graph structures for semantic queries with nodes, edges and properties to represent and store data
also called a graph-oriented database, is a type of NoSQL database that uses graph theory to store, map and query relationships
Some Systems:
* OntoText GraphDB
* OpenLink Virtuoso
* Neo4j
* Amazon Neptune
* AllegroGraph
* OrientDB
Some Graph DB Query Languages
* OWL
* SPARQL
* Cypher
* Gremlin
RDBMS vs Graph Databases
Relational vs Graph Model
Relational Model Graph Model
Neo4j Graph Database
Example:
Property Graph Model
Neo4j Key Features
