Near Social is a blockchain-based analytics platform that provides users with valuable insights into the behavior of Near Protocol network participants. It allows users to explore the network and gain a deep understanding of how the platform is being used, including details such as user behavior, transaction volumes, and network activity.

With Near Social, users can identify trends, track progress, and make data-driven decisions that can help them optimize their Near Protocol experience. This platform provides users with valuable data points and metrics that can be used to inform decisions related to token investing, trading, staking, and more.

Some of the key benefits of Near Social include:

• Valuable Insights: Near Social provides users with a wealth of data and analytics that can be used to gain deep insights into the behavior of Near Protocol network participants.
• Data-Driven Decision Making: The platform provides users with a range of valuable data points and metrics that can be used to make informed decisions related to token investing, trading, staking, and more.
• User-Friendly Interface: Near Social's intuitive user interface makes it easy for users to navigate the platform and access the information they need.
• Customizable Parameters: The platform allows users to select specific parameters and filters to analyze data and gain insights tailored to their needs.

To use Near Social Segmentation Dashboard's customizable parameters, follow these steps:

• 1. Start by accessing to the chart above to see how the new wallets are joining Near.Social and choose your preferred timeframe.
• 2. To select a parameterized time range, use the chart's time range selector tool, located at the top of the dashboard. Choose a date range that aligns with your research needs. An example could be the default one: initial_date=2023-01-01 and end_date=2023-03-10.
• 3. Next, you can use Near Social's filtering parameter called "min_days_activity" to select which type of users you want to include based on their Near activity. You can select options such as 1,2,3,...,10... to filter the data by a threshold number of active days by each user and gain insights specific to your needs.
• 4. Once you've selected your parameters, click "Apply Filters" to update the chart with your custom settings.
• 5. You can now explore the rest of the tabs to see the full analysis and gain valuable insights into the behavior of Near Social network participants during the selected time period and user activity.

Below is an image of the new Near Social authorizers, which enables you to precisely select the timeframe you want to analyze and focus on. This powerful feature helps to streamline your analysis and provides you with accurate and detailed insights into the behavior of Near Protocol network participants.

When you use the Near Social authorizers to select a timeframe, it is important to note that this selection will determine the scope of all subsequent analyses. This means that the data presented on all the dashboard tabs will be filtered based on the selected timeframe.

The dashboard tabs are divided into different sections, with each section providing specific insights into the behavior of Near Protocol network participants. The title of each tab indicates the section it represents and the type of analysis it provides.

For instance, if you select a timeframe of the past month, the data presented on the dashboard tabs will be based on this timeframe. The tabs will provide insights into various aspects of Near Protocol network activity during this period, such as user behavior, transaction volumes, and Near Social activity, as well as staking and swapping activity.

By selecting different timeframes, you can gain insights into different periods of Near Protocol network activity, allowing you to identify trends, track progress, and make data-driven decisions. This is particularly useful for those involved in token investing, trading, staking, and more, as it allows them to gain a deeper understanding of the network and optimize their Near Protocol experience.