Knowledge graphs are transforming the way people look at relational mapping. It creates a better visual for industries to understand different data and generate insights that they might not have seen before.
They’re widely used across industries from businesses, research, finance and even for one’s own personal use. We’ve seen a number of people use knowledge graphs to map out a variety of social networks in those industries. I’ll lay out the different network use cases below and how users have been able to use KgBase to extract insights.
The first step of setting up your graph is figuring out what you want to see from it. Are you looking at the relationship between people or companies, people to location or people to hobbies? Are you trying to see how they’re contributing to the company or just to analyze who is involved?
- Analyzing a Research Network
When you analyze data from educational research, most are looking at a long list of research papers, including title, author, institution and year among others. One way to structure your data is to look at the relationship between authors and titles or authors and institutions.
Maybe the same authors like to write together or contribute to the same university year over year. Or maybe there is a similar topic that is researched that there should be more funding for. A number of research librarians and PhD students have been using this as a use case to see their own university’s research data and use it as reasoning for more funding in their work.
2. Looking at an Organizational Chart
Org charts are another way to look at a network. You can easily see the relationships between people internally within a company in order to easily identify management positions and reporting structures.
For example, you can see Airbnb’s company ecosystem above, laying out different employees on their executive team and their direct reports.
You can also easily outline the management relationship in the graph below:
The organizational chart can also be taken externally by visualizing people within your company who are board members of others.
3. Analyzing a Startup Ecosystem Graph
When you’re a founder, it’s hard to navigate the startup ecosystem, get those warm intros and find the right people to meet. With KgBase you can analyze a startup network for Founders to gain better access to people.
You can track different people in the network, who they advise and different companies they fund.
Another way to look at is to analyze a startup network yourself. VC firm Chaac Ventures created their own knowledge graph to visualize the Princeton startup ecosystem.
They used this graph to see the trends between Princeton founders and found some insights like - “There are 75 startups with at least 50 employees that have at least one Princeton founder and the most popular cities to start a company are San Francisco (29), New York (15) and Boston (4).”
4. Growing your Corporate Social Network
Online networking has always been essential for growing your career or business. I downloaded my LinkedIn data to analyze the connections I have with different companies.
What company am I most connected to and why? Is it from interest or past work experience? What types of roles or departments are my connections in and could that help me grow my career? These are all questions that I was able to answer based on the knowledge graph I built.
There’s many different types of networks out there - social, corporate, educational. As someone who has no coding experience, using KgBase was easy in mapping these out. You can easily upload a CSV file or use one of our many integrations with other formats like .TXT, GraphDB and Turtle files.
For more information feel free to email us at firstname.lastname@example.org