Network Theory Course And Certification

What Is Network Theory?

Network Theory is the study and practice of solving the problems that are related to electric circuits or electric Networks. Network Theory is the study and practice of graphs as a representation of either a symmetric relations or asymmetric relations in-between discrete objects. In computer science and Network science, Network Theory is a major part of Graph Theory, a network can simply be defined as a graph of which its nodes and/or edges have attributes for example names.

Network Theory has its applications and uses in many disciplines which include statistical physics, computer science, particle physics, biology, electrical engineering, economics, finance, climatology, operations research, ecology, public health, and sociology. Other applications of Network Theory include the World Wide Web, logistical networks, Internet, metabolic networks, gene regulatory networks, social networks, epistemological networks, etc.

Network problems that involve looking for a more optimized way of doing something are studied under the name Combinatorial Optimization. Examples here include Network flow, transport problem, shortest path problem, problems with trans-shipment, location problem, routing problem, assignment problem, matching problem, packing problem, critical path analysis, and PERT which stands for “Program Evaluation and Review Technique” etc. 

Features Of Network Theory

Some of the Features Of Network Theory includes:

1. Social Network Analysis: Social Network analysis looks at the structure of relationships that is between social entities. These entities are mostly persons, but they may also be groups, organizations, states, nations, web sites, or scholarly publications. Since the early 1970s, the empirical study of Networks has been a major role in social science, and many of the mathematical and statistical tools that were used for studying and analyzing Networks have been first been designed and developed in sociology.

2. Biological network analysis: With the recent explosion of high throughput biological data that is publicly available, the study of molecular Networks has since gained very significant interest. The kind of analysis defined in this context is closely related to social Network analysis, but mostly focusing on local patterns in the network. The analysis of biological networks with respect to diseases has brought about the development of the field of Network medicine. 

3. Narrative network analysis: The automatic parsing of textual corpora has brought up the extraction of actors and their relational Networks with its various applications on a vast scale. The resulting narrative Networks, which may contain thousands of nodes, are then studied and analyzed by making use of tools from Network Theory to find out the key actors, the key communities or parties, and their general properties such as the robustness or structural stability of the overall network, or to find out the centrality of certain nodes.

4. Link analysis: Link analysis is a subset of network analysis, that is aimed at exploring the associations between objects. An example could be, looking through the addresses of suspects and victims, the telephone numbers that they have dialed and financial transactions that they have carried out during a given timeframe, and the familial relationships between these subjects as a part of the police investigation.

Benefits Of Network Theory

1. The study of Network Theory brings about connectivity, communication, and sharing. 

2. It is also used in finding an address, mapping, and getting contact information. 

3. The study of Network Theory brought about services such as Bans, bill payment, and online shopping.

4. Network Theory is the foundation of IoT (Internet of Things).


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