Hi Michael,

Yes, that is right, in a simpler case there are no h value and we only have 
t values. 
Do you have any suggestions how to model it?

Thanks,
Best,
Alireza 


On Monday, August 11, 2014 2:49:26 PM UTC+2, Michael Hunger wrote:
>
> It sounds a bit like multiple concrete expressions of a meta model though.
>
> Where the potential set of values is your hX and tX is expressed in your 
> concrete data.
>
> So you have multiple dimensions (one of which is time) which are then 
> expressed in concrete data.
>
>
> On Sun, Aug 10, 2014 at 11:20 PM, Alireza Rezaei Mahdiraji <
> [email protected] <javascript:>> wrote:
>
>>
>> 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
>>
>>
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