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Lecture 7

Lecture 7 Oct 26 Lecture.docx

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Department
Sociology
Course
SOC355H1
Professor
Alexandra Marin
Semester
Fall

Description
SOC355Y1Lecture 7 October 27 2010Last week you learnedMeasuring network structure is funCentrality has lots of advantages and each advantage is measured differentlyNodes within some parts of networks components and cliques are more connected to one another than to nodes in other parts Todays OutlineWhich networks SizeStructure TransitivityComposition HomophilyIf time SamplingSubsitive research neither theory nor methods answering research questions insteadWhat do networks look like But before we need to say what networks are actually talking about Today we will look at two networks most fundamental They are 1 The network of knowing who knows who o So fundamental because it underlies everything else 2 Core networks networks of people who are important in our lives we interact with them regularly emotional service and companionship These are important because we get a lot of stuff from them money services and emotional needs Both are fundamentally egocentric networks People surround constituting social world These networks are so important because they bridge micro macro link which is how we can explain large scale social phenomena even though the way we live our lives is on the micro level How do we explain Social network analysts argue that all these macro things happen within interactions fundamentally For example if you think about something like getting a job which is hugely important for macro stuff determines how much money you make where you live etc and yet getting a job is something that happens in a series of interactions It is an interaction when someone tells you about a job and then an interview for the job is another interaction How are interactions structured Network analysts argue these interactions are patterned at micro level to create macro levelexample in the job interview there would be signals of how you use language which means something for the interviewer In these networks of knowing or core networks of support we see interactions
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