How to model relationships between two entities that change over time?

(Ben Baert) #1

I am creating a database that maps relationships between entities. These relationships change over time.

For example, methane emissions are responsible for x% of greenhouse gas emissions in 2017 and y% of greenhouse gas emissions in 2018.

Without taking time into account, it could look something like this:

I do however, want to track changes over time. My preference would be to link a relationship to a node, but this is not possible. I have two ideas in my mind.

The first is to simply create multiple relationships between the two entities, one for each year that I'm tracking:

The other is to create a proper time tree and make a node for each year, like so:

I'm not really sure which one to pick (or whether there is another, more sensible alternative). I tend to like the latter option with the intermediate node a little bit better, but it also introduces complexity that the simpler solution avoids.

Most articles on this topic are about nodes that are connected to a time tree, in which case it's fairly straightforward. Here it's the relationship that should be connected to the time tree, but that's not possible.

(DKumar) #2

can you share 25% of the sample data? let me see the cardinality / distribution of the data.

(Ben Baert) #3

There is no sample data yet.

Nodes would likely have a high number of incoming and outgoing relationships (so high cardinality).

(David Fauth) #4

You can use a specific relationship type to help traverse.
Example: 2017_CONTRIBUTE_TO and 2018_CONTRIBUTE_TO

(Vit Mareev) #5

We are using something like that: