⭕QUESTION || 01

StreamOperations

The StreamOperations method can be used to track various real-time events on the blockchain. Its scope is not limited to voting or posts, but can also be used for a number of other purposes. Here are some unique and creative uses:

1. Monitoring Suspicious Activity (Fraud Detection):

We may use StreamOperations to detect abnormal or suspicious activities on the blockchain, such as:

• Abnormal amounts of transfers.
• Repeated transactions from the same account.
• Analysis of unexpected transactions.

Example:

If an account is making repeated transactions in a short period of time, it may be considered a fraud or bot activity.

2. Community Alerts and Notification Systems:

This method can be used to create an alert system that informs community members about specific activities:

• When a particular user posts or votes.
• When a post is made with a specific tag.
• When large quantities of tokens are deposited or transferred to a particular account.

Example:

If you keep an eye on a particular hashtag, such as #breakingnews, you should use it for instant alerts.

3. Identification of trends (Trends):

By analyzing posts and votes on blockchain, we can identify trends:

• Which posts are getting more votes.
• Which topics are becoming more popular.
• Study consumer behavior.

Example:

You can create a script that compiles a list of most voted posts and is used for data marketing or research.

4. Automatic Reward System (Reward Systems):

A bot can be developed to reward a particular activity:

• Users who comment the most.
• Those who participate the most (eg share posts).
• which remain active on specific tags.

Example:

An automated bot can reward the user with the most votes per week.

5. Content monitoring and filtering:

You can use StreamOperations to review specific words, tags, or content:

• Detect unwanted words or spam content.
• Reporting irrelevant or unethical posts.

Example:

A bot can be created that targets and reports content with unethical words.

6. Data Archive and Analysis:

Blockchain data can be stored for future research or reference.

• Making daily transaction reports.
• Analysis of consumer behavior.
• Analysis of blockchain activities for data science purposes.

Example:

This data can be used in journalism, data models, or investigative reports.

7. Community Interaction (Engagement Tracking):

A system can be created to see which users interact more with each other, such as:

• Who votes more for whom.
• Whose posts are shared more.
• Identify connections and community groups between users.

Example:

You can find out which users constantly react to each other's posts, which can create networking and collaboration opportunities.

⭕QUESTION || 02

1. Comments (Comment) Identification and Analysis:

StreamOperations can be used to identify comments. This feature is particularly useful for applications that create content monitoring, filtering, or notification systems.

Example code:

if (type == 'comment') {
console.log('New comment discovered!');
console.log('Author: ' + data.author);
console.log('post link: ' + data.permlink);
console.log('comment material: ' + data.body);
}

Analysis:

This code displays the commenter's username, link to the post, and comment content. It can be used to identify spam, monitor popular topics, or analyze user activity.

2. Monitoring of transfer (Transfer):

We can track money exchanges by monitoring transfer transactions.

Example code:

if (type == 'transfer') {
console.log('New Transition Discovered!');
console.log('sender: ' + data.from);
console.log('receiver: ' + data.to);
console.log('money: ' + data.amount);
}

Analysis:

This code illustrates who sent how much money to whom. Such activities may be used for fraud monitoring, financial reports, or reward systems.

3. Transfer to Westing (Transfer to Hosting):

A vesting transfer over a blockchain means the user is transferring their money for stacking.

Example code:

if (type == 'transfer_to_vesting') {
console.log('Transition to Wasting discovered!');
console.log('sender: ' + data.from);
console.log('money: ' + data.amount);
}

Analysis:

This code shows the details of the money transfer in vasting. Such data can be used to understand consumer investment trends and network stability.

4. Westing Extract (Withdraw Hosting):

This code is used to track the Westing extraction activity.

Example code:

if (type == 'withdraw_vesting') {
console.log('Vesting extraction activity discovered!');
console.log('Account: ' + data.account);
console.log('Wasting Shares: ' + data.vesting_shares);
}

Analysis:

This code shows the account of the user who extracted the hosting and the details of the withdrawal amount. This type of information is important for financial monitoring and data analysis.

5. Analysis of other transactions:

StreamOperations can also be used to identify other transactions, such as:

Voting (Vote):

if (type == 'vote') {
console.log(data.voter + ' voted ' + data.author + '/' + data.permlink);
}

Reblog (Reblog):

if (type == 'custom_json' && data.id == 'follow') {
console.log('reblog: ' + data.required_posting_authes[0]);
}

Account Update (Account Update):

if (type == 'account_update') {
console.log('Account Updated: ' + data.account);
}

Other uses:

• Spam filtering:

StreamOperations can be used to identify and block spam.

• Data Analysis:

Different transactions can be logged and analyzed to help predict or plan for the future.

• Notification Systems:

Instant notifications can be sent to users on special activities.

• Reward System:

Automated rewards may be awarded to active users or specific activities.

• Security Monitoring:

Can be used to identify unusual activities or fraud.

Result::

StreamOperations is a powerful and flexible method that facilitates real-time tracking and analysis of blockchain data. In this article we have described in detail how to identify and analyze different types of transactions.

⭕QUESTION || 03

How to find a vote from your account

In this article we will learn how to identify votes from your account on Steem blockchain in real time. For this purpose we will use the StreamOperations method and explain the details through code examples.

1. Introduction to StreamOperations:

StreamOperations is a method that facilitates monitoring of all transactions on the blockchain. Using this we can get data directly from the blockchain, such as votes, comments, and transfer details.

2. Code Example:

This code is designed to detect votes from your account:

const steem = require("steem");

// API connection configuration
steem.api.setOptions({ url: 'https://api.steemit.com' });

//Enter your account name
const myAccount = 'your_account_name';

//Find the vote through StreamOperations
steam.api.streamOperations(err, operations) => {
if (err) {
console.error('Disruption: ', err);
return;
}

Check //Transaction types
let type = operations[0];
let data = operations[1];

//check the vote
if (type === 'vote' && data.voter === myAccount) {
console.log('You voted:');
console.log('Author: ' + data.author);
console.log('post: ' + data.permlink);
console.log('weight: ' + data.weight/ 100 + '%');
console.log('-------------------------------------');
}
});

3. Code Analysis:

• API Connection:

The code is configured to connect to Steemit's API.

• Account Name:

Enter your account name in myAccount.

• StreamOperations:

It monitors every block of the blockchain and analyzes transactions.

• Vote ID:

If the voter has your account, his details are logged.

4. Practical demonstration:

Run the boot:

node vote_detector.js

Vote from your account.

See results:

Vote information will appear in the log file or terminal.

5. Other possible uses:

• Notification System:

Use to get your vote notification.

• Data Analysis:

Analyze your vote trends.

• Automation:

Use to automatically distribute responses or rewards after voting.

Result:

This code allows you to identify votes from your account in real time. This not only makes monitoring your activities easier, but you can also integrate this data with other applications.