Social network analysis has been known to be linked pretty closely with network theory, and so it has grown as a main methodology when it comes to using modern sociology. Biology, geography and also information science among many other kinds of scientific groups find the study of social networking to be even more important than before as time goes on.
The methodology of social network has no doubt been presented in a bad light in the past due to the complex nature of the entire development of the analysis. Social network analysis with its theoretical statement, analysis procedure, methods, software, and researches, it has now moved from metaphor to paradigm. Network analysis is believed to have discrete methods in order to gather data and to get statistical analysis which makes it even harder to gain credibility, acknowledgement and support throughout the scientific world.
Analysts do have some trouble coming to agreements in certain aspect of human relationships form one to another. Analysts study two principles in this technique which include complete networks as well as specific population information within personal communities. The main distinction between complete and egocentric analysis depends in part on how the information is gathered in the first place.
The analysis is made for groups of people such as in places like companies, churches and other kinds of societies. Used with the combination of random sampling, egocentric analysis is very easy when compared with complete analysis.
The data required for social network analysis is obtained from many places like questionnaires, experiments and all other kinds of written records. The various social relations that are depicted by social network analysis include but are not limited to actions, flows and co-occurrence. Some of the main concepts used in the analysis are dyad level, subgroup level, relation level, social network level, group level, triad level, arc level, and actor level.
Network analysis methodology is highly criticized around the world for using very little theoretical knowledge in its findings.
Due to the lack of screening the thesis statistically, the information breaks presumptions and related items which in turn has created serious problems in the past. Now, with the progression and permutation testing avialble things are much more widely accepted worldwide. However there is still a problem wit the methods used due to the inadequacy of computing resources to connect social networks as the datasets are very big, which make data process very hard.