Update README.md

README.md

@@ -20,7 +20,12 @@ The Reddit Climate Comment dataset is a collection of comments extracted from su
 
 ### Dataset Details
 
-The dataset is centered around discussions related to clean energy and climate change, obtained through the Reddit API by extracting information from the top 1000 posts within specified subreddits and collected using a Python Library, Praw, on January 31th, 2024. These subreddits include “Climate”, “Energy”, “RenewableEnergy”, and “ClimateChange”. The dataset collected 20 comments under each post. The selection of curated subreddit names is determined by assessing both the relevance of the subreddit to energy and climate change and the size of the subreddit community, measured by the number of Reddit users who have joined. In the dataset, under the “Climate” subreddit category, there are 14,008 comments (184k users in the community), while 10,963 comments under “ClimateChange” subreddit category (89k users in the community); “Energy” subreddit has 13,741 comments (181k users in the community), and the “RenewableEnergy” subreddit has 5,397 comments (124k users in the community). In total, there are 44,109 comments across all subreddit. During the data collection process, timestamps were converted from Unix timestamps (seconds since the epoch) in the raw data into a UTC datetime object.
+The dataset is centered around discussions related to clean energy and climate change, obtained through the Reddit API by extracting information from the top 1000 posts within specified subreddits and collected using a Python Library, Praw, on February 21st and 22nd, 2024. These subreddits include “Climate”, “Energy”, “RenewableEnergy”, and “ClimateChange”. The dataset collected comments and replies under each post. The selection of curated subreddit names is determined by assessing both the relevance of the subreddit to energy and climate change and the size of the subreddit community, measured by the number of Reddit users who have joined. 
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+In the dataset, under the “Climate” subreddit category, there are 894 unique posts, 3,463 unique comments, and 7,913 unique replies (184k users in the community); under the “ClimateChange” subreddit category, there are 787 unique posts, 3,376 unique comments, and 7,657 unique replies (89k users in the community); under the “Energy” subreddit category, there are 958 unique posts, 6,919 unique comments, and 14,247 unique replies (181k users in the community); under the "Environment" subreddit category, there are 964 unique posts, 9,042 unique comments, and 28,063 unique replies (1,561k users in the community); under the “RenewableEnergy” subreddit category, there are 566 unique posts, 979 unique comments, and 1,754 unique replies (124k users in the community); under the “Sustainability” subreddit category, there are 749 unique posts, 2,365 unique comments, and 4,806 unique replies (571k users in the community); under the “ClimateActionPlan” subreddit category, there are 663 unique posts, 1,324 unique comments, and 2,613 unique replies (89k users in the community); under the “ZeroWaste” subreddit category, there are 969 unique posts, 5,259 unique comments, and 13,347 unique replies (1,082k users in the community);
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+In total, there are 6,650 unique posts across all subreddit. During the data collection process, timestamps were converted from Unix timestamps (seconds since the epoch) in the raw data into a UTC datetime object.
 
 - **Curated by:** Reddit users and the Reddit platform
 - **Language(s):** English
@@ -32,16 +37,17 @@ The dataset is centered around discussions related to clean energy and climate c
 
 ### Supported Tasks
 
-The Reddit Climate Comment dataset is intended to be used for various natural language processing (NLP) and text-based analyses related to discussions on climate change, energy, and renewable energy topics.
+The Reddit Climate Comment dataset is intended to be used for various natural language processing (NLP), text-based analyses, and network analysis related to discussions on climate change, energy, and renewable energy topics.
 
 Supported tasks include:
 
-1. Sentiment Analysis: determine the sentiment expressed in comments related to climate, energy, and renewable energy.
-2. Topic Modeling: identify prevalent topics and themes within the energy and climate discussions.
-3. Keyword Extraction: extract keywords or phrases that frequently appear in the dataset to understand the most discussed concepts within climate, energy, and renewable energy discussions
-4. User Engagement Analysis: explore user engagement metrics, such as upvotes and comment length, to discern patterns in community participation and preferences.
-5. Comparative Analysis: conduct comparative analyses between discussions in subreddits focused on "energy", "renewable energy", "climate", and “climatechange”. Explore how conversations differ across these thematic areas.
-6. Temporal Analysis: investigate how discussions evolve by analyzing temporal patterns. Identify trends, peak activity periods, and correlations with real-world events.
+1. **Sentiment Analysis**: determine the sentiment expressed in comments related to climate, energy, and renewable energy.
+2. **Topic Modeling**: identify prevalent topics and themes within the energy and climate discussions.
+3. **Keyword Extraction**: extract keywords or phrases that frequently appear in the dataset to understand the most discussed concepts within climate, energy, and renewable energy discussions
+4. **User Engagement Analysis**: explore user engagement metrics, such as upvotes and comment length, to discern patterns in community participation and preferences.
+5. **Comparative Analysis**: conduct comparative analyses between discussions in subreddits focused on "energy", "renewable energy", "climate", and “climatechange”. Explore how conversations differ across these thematic areas.
+6. **Temporal Analysis**: investigate how discussions evolve by analyzing temporal patterns. Identify trends, peak activity periods, and correlations with real-world events.
+7. **Network Analysis**: Analyze the network structure of interactions between users or topics within the dataset. Explore patterns of connectivity, centrality, and clustering to gain insights into the underlying dynamics of the discussion ecosystem.
 
 ### Languages
 
@@ -134,7 +140,7 @@ The source data for this dataset comprises comments contributed by Reddit users
 
 #### Data Collection and Processing
 
-The data collection process involved extracting comments from the top posts in selected subreddits, including "Climate," "Energy," "RenewableEnergy", and “ClimateChange”, using the Reddit API. The PRAW Python library was utilized for interacting with the Reddit API. Specifically, the top 1000 posts were considered in each subreddit, with approximately 20 comments collected under each post. The data collection was performed on January 31st, 2024 with code in [reddit_data_collection.py](https://huggingface.co/datasets/cathw/reddit_climate_comment/blob/main/reddit_data_collection.py).
+The data collection process involved extracting comments from the top posts in selected subreddits, including "Climate," "Energy," "RenewableEnergy", and “ClimateChange”, using the Reddit API. The PRAW Python library was utilized for interacting with the Reddit API. Specifically, the top ~1000 posts were considered in each subreddit, with comments and replies collected under each post. The data collection was performed on January 31st, 2024 with code in [reddit_data_collection.py](https://huggingface.co/datasets/cathw/reddit_climate_comment/blob/main/reddit_data_collection.py).
 
 The processing steps included: