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Outline

Analysis and Visualization of Dynamic Networks

2017, Springer eBooks

https://doi.org/10.1007/978-1-4614-7163-9_382-1

Abstract

Network or a Graph: A mathematical structure to represent objects and their interactions. Objects are represented by Nodes or Vertices (often denoted by a set V) and interactions are represented by Links or Edges (often denoted by a set E). Mathematically, a graph G is defined as a tuple G(V, E). Mathematicians use the 2 term Graph whereas scientists from other disciplines usually use the term Network to refer to the same concept. Throughout this text, we use these terms interchangeably. Social Network: A network where objects represent people and their interactions represent some sort of relationship among people. For example, two individuals may be connected to each other if they have studied at the same school, or play for the same football team. Clusters: A group of nodes (representing objects) that are densely connected to each other and sparsely connected to other nodes in the network. Formally, a clustering of a static graph G = (V, E) is defined by a set C of subsets of V : C = {c 1 , c 2 , ..., c l } such that V = c 1 ∪ c 2 ∪ ... ∪ c l. Small World Network: A graph with two characteristic properties. The average path length i.e. the number of nodes needed to traverse from one node to another on average is low, as compared to an equivalent size random graph. The second characteristic is the high transitivity among nodes i.e. many sets of three nodes are connected to each other with three vertices. Scale Free Network: A graph whose degree distribution follows a power law where the power law coefficient is usually between [2,3]. In other words, this means that most nodes nodes have only a few connections (low degree) and few nodes have many connections (high degree) in the network. Definition Network Science has emerged as an interdisciplinary field of study to model many physical and real world systems. A network, although consists of only a set of nodes and edges, but is a very powerful structure to represent a wide variety of systems such as people related through social relations, airports related through flights and Formally, we can define a dynamic network as a network which undergoes structural changes over time. The analysis and visualization of these networks is the study of algorithms, methods, tools and techniques which help us understand these networks and extract applicable knowledge from them. The study of Dynamic Networks forms a new and cross disciplinary area of study with research opportunities and applications in many diverse fields.

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