Hi All, I saw documentation about how to model time series in graph but my problem seems does not fall into that meta models.
Here is a description: I have a graph with a fixed connectivity, however based on variable let say h with values <h1,h2,..hn> some of internal properties of the graph nodes changes, i.e. for h=h1 a node have value x1 for property x but for h=h2 the value of x for the node is x2. Moreover, there are other data (properties in graph terminology) for nodes which are based on time, i.e., I have a set of timestamps t=<t1,t2,t3, ...,tn> and for each timestamp and for each value of h, each node have one or a vector of data. This nested data structure seems very hard to model with graph. Does anybody has ideas on how to model this? Thanks, Best, Alireza -- You received this message because you are subscribed to the Google Groups "Neo4j" group. To unsubscribe from this group and stop receiving emails from it, send an email to neo4j+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
