Podcast
Questions and Answers
Why do existing methods of network analysis fail when dealing with large online datasets?
Why do existing methods of network analysis fail when dealing with large online datasets?
Because they were developed for small, manually collected networks.
What is a major issue with taking a sample from a large online network?
What is a major issue with taking a sample from a large online network?
It is time-consuming.
What is a potential problem with using random sampling or snowball sampling on large online networks?
What is a potential problem with using random sampling or snowball sampling on large online networks?
They may take too much time or produce unsuitable samples.
Why is it difficult to provide universal advice on taking a sample from a network?
Why is it difficult to provide universal advice on taking a sample from a network?
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How can looking at existing research on a topic help in taking a sample from a network?
How can looking at existing research on a topic help in taking a sample from a network?
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What is the 'mapping principle' problem in online research?
What is the 'mapping principle' problem in online research?
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Why might conclusions about offline friendship based on online data be invalid?
Why might conclusions about offline friendship based on online data be invalid?
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What is a key takeaway for researchers using online data?
What is a key takeaway for researchers using online data?
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Why is it difficult to determine whether online 'friendship' is the same as offline friendship?
Why is it difficult to determine whether online 'friendship' is the same as offline friendship?
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What is a common problem in online behavior research?
What is a common problem in online behavior research?
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Study Notes
Understanding Complex Texts
- Close reading requires active questioning, critical thinking, and making connections between different parts of the text.
- It involves analyzing large amounts of text data with the help of computers to identify broader trends and patterns across a body of literature.
Active Analysis vs. Distant Reading
- Active analysis involves close reading and making connections between different parts of the text.
- Distant reading analyzes large amounts of text data with computers to identify broader trends and patterns.
Data Collection
- Readymade data is pre-collected, generic, and fast to access, but may require cleaning and processing before analysis.
- Custom-made data is designed for a specific purpose, structured, and ready to analyze, but may require more time and resources to collect.
Ideal Data Set
- The ideal data set should focus on the frequency and nature of interactions, providing a nuanced picture of social capital.
- Data can come from various sources, such as phone calls, email exchanges, co-authorship of papers, or face-to-face interactions captured by sensors.
Challenges in Data Collection
- Obtaining data on real-world interactions can be complex and require access to communication records or setting up specific tracking mechanisms.
- Privacy concerns are also a consideration.
Inaccessible Data
- Data held by companies and governments can be difficult for researchers to access.
- Examples include technical challenges, such as processing and analyzing big data.
IRB Challenges
- Institutional Review Board (IRB) can be a challenge in research, especially when working with large datasets.
- Researchers should build relationships with their IRB and clearly communicate their research to obtain approval.
- IRB is not intended to hinder research, but to protect the rights of human research subjects.
Technical Challenges
- Analyzing large networks can take hours or days, even with the best computers.
- Existing methods for taking a sample from a network may not work for large online datasets.
- Researchers should develop new methods or adapt existing ones to suit their research question.
The Mapping Principle
- Researchers should be cautious when generalizing online behavior to offline behavior.
- Online data may not be representative of the offline world.
- Critical thinking is necessary to determine if online data can be applied to the offline world.
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Description
This quiz covers the concepts of close reading, active analysis, and distant reading in literary analysis. It explores the importance of critical thinking and making connections between different parts of the text.
