This chapter provided an introduction to social network data collection and management methods. The chapter covers five types of network data collection techniques, survey, egocentric, sequenced, census, and two-mode, indicating their uses and advantages and disadvantages. The chapter introduced the idea that network data provide measures at both the individual and network level. Individual measures indicate a person's position in the network relative to others in the network. Individual measures also indicate network effects in terms of the properties of others a person is connected to, for example, whether his/her friends are smokers. Network level measures describe overall properties of the network such as its density or centralization. The network paradigm is thus made up of these four components: (1) network data collection and management, (2) network data characteristics, (3) the distinct levels of analysis, and (4) network variables derived from the data
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