Dark Mode
Online Community Chat Analytics Dataset
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset captures engagement patterns within the GDG Babcock data community, specifically focusing on the Data & AI Track. It is structured into two main files: one for message data and another for member-specific metrics. The message data includes details such as timestamps, usernames, and various derived features like message quality and word count. The member data provides insights into total messages sent, active days, and a classification of user activity levels based on multiple engagement factors. This dataset is designed to enable the analysis of user participation, message frequency, and behavioural trends within an online community. It can be used to identify trends in message frequency across different times, build models to predict user activity, conduct text analysis on message content, and investigate the relationship between message length and user activity.
Columns
Message Data File:
- Date: The date the message was sent, in YYYY/MM/DD format.
- Username: The identifier for the user who sent the message.
- Hour: The hour during which the message was sent (in 24-hour format, ranging from 0-23).
- Month: The month when the message was sent.
- Quality: A derived measure of message quality, often based on the number of non-stopwords.
- Weekday: The day of the week when the message was sent.
- Weekend: A boolean indicator (True/False) if the message was sent during the weekend.
- Wordcount: The total number of words in the message.
- Message: The actual content of the message sent by the user.
Member Data File:
- Username: The unique identifier for the user.
- Total Messages: The total number of messages sent by the user.
- Active Days: The number of days the user has been active in the group chat.
- Weekend Activity: A boolean indicator (True/False) if the user is more active on weekends.
- Activity Level: A classification of the user's activity level (e.g., High, Medium, Low) based on engagement metrics.
Distribution
The dataset is typically provided as data files, commonly in CSV format. It consists of two distinct files: one for message-level data and another for member-level aggregated data. The message data file contains approximately 1,275 records based on aggregated date and other attribute counts. The exact number of records for the member data file is not specified but represents unique users within the community.
Usage
This dataset is ideal for:
- Analysing user activity and engagement in online discussions.
- Identifying trends in message frequency across different times of the day and week.
- Building predictive models for user activity levels and engagement patterns.
- Conducting sentiment analysis or text analysis on message content.
- Investigating the relationship between message content length and user activity.
Coverage
The dataset focuses on the GDG Babcock data community's Data & AI Track. It has a global regional scope. The time range for the collected data is from 2024-01-01 to 2024-12-23, covering approximately one year of community engagement. There are no specific notes on data availability for certain groups or years outside of this community and timeframe.
License
CC BY-SA
Who Can Use It
This dataset is suitable for:
- Data Scientists and Analysts interested in community engagement and behavioural trends.
- Researchers studying online communities, social dynamics, and communication patterns.
- Community Managers looking to understand and improve engagement within their platforms.
- Academics for educational purposes and case studies in data science and analytics.
- Developers building tools for community management or engagement prediction.
Dataset Name Suggestions
- GDG Community Engagement Data
- Online Community Chat Analytics Dataset
- Data & AI Community Activity Log
- User Engagement Chat Dataset
Attributes
Original Data Source: GDG Community Chat Dataset
QUALITY