to carefully assess the quality, relevance, and integrity of any dataset you find before using it for analysis. Additionally, be mindful of any usage restrictions or licensing requirements associated with the dataset, and always give proper credit to the original data sources

To find a trusted dataset for social network analysis with respect to friendship, you can follow these steps:

1. Look for publicly available datasets: There are many publicly available datasets that you can use for your analysis. Look for datasets from reputable sources such as universities or government agencies.

2. Check the dataset's source: Check the source of the dataset to ensure that the data has been collected from a reliable and trustworthy source. It's important to verify the authenticity and accuracy of the collected data.

3. Analyze the data collection method: Check the data collection method used in the dataset. The data collection method should be consistent and systematic to avoid any errors or bias.

4. Check for data cleaning and preprocessing: It's important to check if the dataset has undergone data cleaning and preprocessing to ensure that the data is accurate and free from errors.

5. Check the dataset's documentation: The dataset's documentation should be comprehensive and provide information on the data collection process, variables, and data structure.

6. Look for peer-reviewed articles: Look for peer-reviewed articles that have used the dataset to analyze friendship in social networks. This can give you an idea of the data quality and how the dataset was used in analysis.

Overall, finding a trusted dataset for social network analysis with respect to friendship requires careful consideration of the data source, collection method, cleanliness, and documentation.

Manoj Kumar Srivastav