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Module Node

When you’ve conducted reverse searches and discovered accounts, profiles, or data linked to specific identifiers, Module Nodes are where you display and organize those findings. They’re like digital evidence cards that show what platforms and services are connected to an email, phone number, username, or name from your reverse search investigations.

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What goes in a Module Node?

Module Nodes store and display reverse search results with comprehensive data organization:
  • Search Information - Search type (email, phone, username, name), original query, platform/service name
  • Found Data - Structured information discovered from the reverse search (usernames, display names, locations, etc.)
  • Social Profiles - Connected social media accounts and platform-specific information
  • Platforms - List of services where the identifier was found
  • Investigation Metadata - Source tools used, confidence levels, analysis notes

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When you’ll use these

Module Nodes are essential when you’re:

Reverse search analysis

Displaying and organizing results from reverse searches conducted on platforms like Noimosiny.

Social media mapping

Showing discovered social media accounts and profiles linked to specific contact information.

Platform correlation

Connecting the same identifier across multiple platforms and services to build comprehensive profiles.

Evidence documentation

Organizing investigation findings with proper metadata and confidence tracking for case documentation.

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How to add reverse search results

1

Create the module node

Grab the Module tool from your sidebar and click where you want it on your graph. This represents your reverse search findings.
2

Set the search parameters

Define what you searched for:
  • Platform/Service - Name of the service (TikTok, GitHub, LinkedIn, etc.)
  • Search Type - Choose from Email, Phone Number, Username, or Full Name
  • Query - The actual identifier you searched ([email protected], @johndoe, etc.)
3

Add discovered data

Input the information found in your reverse search:
  • Data Fields - Structured key-value pairs of discovered information
  • Social Profiles - Platform-specific account details
  • Connected Platforms - List of services where this identifier appears
4

Document investigation metadata

Add context for your findings:
  • Source - Tool used (sherlock, theHarvester, Noimosiny, etc.)
  • Confidence Level - High, Medium, or Low based on result reliability
  • Notes - Additional observations and analysis

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Connecting modules to your investigation

Module Nodes become powerful when you link them to other investigation elements:

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From reverse searches to identities

Social profile mapping: Convert discovered accounts to:
  • Identifier nodes for usernames and profile information
  • Organization nodes when business accounts are discovered
  • Person profiles when real names and personal information are found
Contact information correlation: Link found contact data to:
  • Multiple module nodes showing the same identifier across platforms
  • Network nodes for associated domains and websites
  • Geographic patterns when location data is discovered

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Investigation workflow patterns

Email reverse search workflow

Start with an email address, search on Noimosiny, then create Module nodes for each platform where accounts were found (TikTok, Instagram, GitHub, etc.).

Username correlation tracking

Search the same username across multiple platforms, create Module nodes for each service, then connect them to build a comprehensive digital footprint.

Phone number investigation

Use reverse phone lookup results to create Module nodes for any social media or service accounts linked to that number.

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Example: TikTok and AliExpress account discovery

Module node showing TikTok account discovered through email reverse search with associated profile data and metadata
Here’s how you’d document finding a TikTok account through email reverse search:
  1. Set the search context - Platform: “TikTok”, Type: “Email”, Query: “[email protected]”
  2. Add discovered profile data - Username, display name, follower count, bio information
  3. Include social profile details - Platform-specific information like TikTok user ID, verification status
  4. Document the source - Tool used NOIMOSINY, confidence level based on result accuracy
  5. Connect to broader investigation - Link to the person’s Identifier node and other social platforms
Use the bulk edit feature in Module nodes to quickly input large amounts of structured data from reverse search results. You can paste JSON data or use the field:value format for faster data entry.

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What else to connect

Module Nodes work seamlessly with:
  • Identifier - The original search terms and related contact information
  • Organization - Companies and businesses discovered through the reverse search
  • Network - Websites, domains, and infrastructure linked to found accounts
  • File - Screenshots, reverse search reports, and evidence documentation
  • Event - Timeline of account activities, creation dates, and investigation milestones
  • Map - Geographic locations associated with discovered accounts
  • Notes - Investigation observations, analysis, and case progress
Think of Module Nodes as your reverse search evidence locker - they’re where external platform discoveries become documented intelligence, where scattered social media accounts become connected networks, and where individual searches become comprehensive digital investigations.