Author: Han Jae-ho
The cryptocurrency asset data platform "Token Watch," operated by Token Post, has unveiled an "Interactive Relationship Graph" feature that allows users to see the interconnected structure between projects, investors, and key figures at a glance.
This newly added relationship graph is a function that visually displays how investors and key individuals are connected, centering on cryptocurrency asset projects listed in the Korean won market. Users can not only check the investment background of a single project but also explore other projects participated in by the same investor and the past and present affiliations of individuals within the same screen.
Currently, the relationship graph shows the top 30 investors by portfolio and key figures confirmed across multiple projects. Users can directly search for projects, investors, or individuals, or filter by type to extract only the desired relationships.
The connecting lines are divided into ▲ General Investment ▲ Lead Investor ▲ Current Affiliation ▲ Past Affiliation. Through this classification, users can confirm not only which investors participated in a specific project but also who led the investment round, and the organizations with which key figures are currently or were previously associated.
For example, selecting a specific project will display the investors in that project and related individuals. Conversely, with an investor as the center, users can view that investor's portfolio of Korean won-listed projects and co-investment relationships with other investors.
After clicking on a node, using the "View Centered on This Node" function allows users to keep only connections within two degrees of separation from the selected object. Even when the overall network appears complex, this enables quick focus on a specific project or investor, narrowing down to the core relationships. The feature also supports node dragging and screen zooming.
With this relationship graph, Token Watch moves beyond simple investor lists, allowing users to three-dimensionally explore the capital and human networks within the cryptocurrency asset market.
This feature can be used to grasp information that was difficult to confirm previously with just a project's published investor logos, such as:
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Co-investors
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Frequent VC co-investor combinations
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Investor overlap between competing projects
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Core individuals recurring across multiple projects
Particularly for investors, it can serve as a reference to verify the background of projects of interest; for journalists and researchers, it can be a tool for interviews and analysis to uncover hidden commonalities between projects; and for industry professionals and business developers, it can be used to examine connection paths between projects, investors, and key figures.
The investor and individual data used in the relationship graph is based on RootData, and some information (such as whether a project has responded) is based on records from the Token Post editorial department. Regarding individual relationships, to reduce erroneous connections of the same person, associations are made only when X account IDs match or two or more full names match.
The Token Watch relationship graph requires no additional installation and can be used directly on the web, supporting both Korean and English interfaces.
A representative from Token Post stated: "To understand a cryptocurrency asset project, one must not only look at price and listing information but also understand which capital and individuals are connected behind the project. We will continue to optimize the relationship graph so that dispersed investment and individual information can be explored intuitively."
Simultaneously, Token Watch states that the information displayed in the relationship graph may differ from the actual latest status due to variations in collection and verification timing. All data is for reference only and does not constitute investment advice.
This article is written based on market data and chart analysis and does not constitute investment advice for specific projects.
