- Apr 2017
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methods-sagepub-com.ezp1.lib.umn.edu methods-sagepub-com.ezp1.lib.umn.edu
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Of course, this first step will help you refine your ideas before you move forward, but you will also find useful concrete examples of how previous researchers have formulated their research questions, collected data, and analyzed those data.
Actually, I started this project with less consulting the previous literature. At that time, I much focused on what is collectable data and how to analyze the data. When I articulate another project, I'll more deeply consult the literature
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- Mar 2017
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methods-sagepub-com.ezp1.lib.umn.edu methods-sagepub-com.ezp1.lib.umn.edu
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here are several standard measures that can be calculated from egocentric network data, including size, strength, diversity, centrality, constraint, and brokerage.
I believe SIZE and DENSITY are very intuitive measures that enable readers to understand the characteristics of eco-centric networks, especially, when we try to compare the different eco-centric networks. My related question is "how we can statistically compare those values from different networks?". To expand the qustion, "how we can statistically test the differences among different networks?"
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methods-sagepub-com.ezp1.lib.umn.edu methods-sagepub-com.ezp1.lib.umn.edu
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Figure 6.5
Honestly, this is what I want to know when I analyze sub-groups in a network. It is a good logical process that I can follow and cite as the process in my research. Appreciate it!
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By charting this process, you are able to identify whether there is a “core” group of actors at the center of the network, while others are on the periphery
To identify "core" actor, what is a difference between a K-core collapse and centrality. I understand that there are difference logics between them. However, considering the expected results, I am not sure how we differenciate those different techniques.
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A weak component ignores the direction of a tie; strong components do not. Stated differently, strong components consist of nodes that are connected to one another via both directions along the path that connects them. Weak components consist of a set of nodes that are connected regardless of the direction of the ties.
Which means, what I understand that, there is no diffence between a strong and a weak component if a network is undirected. Is it right?
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