Application process (node E) represent a stage between courses (courses 
also being stages). The problem is in my app, I can't build a generic query 
to show series of stages because 90% of times, the transition stages like 
Application Process (node E) are without any specifics but in 10% of times, 
selective cases like certain undergrad transition to grad pop up.

Thanks,
R

On Sunday, November 8, 2015 at 2:51:20 AM UTC+5:30, Liliana Ziolek wrote:
>
> It's hard to say what kind of queries do you want to ask of such graph - 
> from what you said so far I don't see the need for the node "application 
> process". If you want to know from which under-graduate course to which 
> graduate course a student can apply to, then the simplest representation 
> would be:
> nodes are A,B,C, M, N as you said, the relationship is pointing directly 
> from A-> N (e.g. A -[:FOLLOWED_BY]->N, B->N, B->M and C->M (then you can 
> ask "which courses allow me to apply for grad course N).
>
> Can you explain a bit more on the place of the application process in your 
> queries? It might also turn out to be a node, but you'll probably still 
> want to keep the direct relationship from under-grad courses into grad 
> courses, simply to indicate which transitions are allowed and which aren't.
>
> On Saturday, November 7, 2015 at 6:18:52 AM UTC, Rasik Fulzele wrote:
>>
>> Thanks for your reply.
>> Sorry, if I was not clear.
>> I'll try to elaborate again with other example.
>>
>> There are 3 under-graduate courses (A,B,C) and 2 graduate courses (M and 
>> N). The courses are nodes. also, the transition from undergrad to grad 
>> happens through an application process E which is also a node. 
>>
>> So here are relationships
>>
>> A precedes E
>> B precedes E
>> C precedes E 
>> E precedes N
>> E precedes M
>>
>> Now the problem is graduate course N is allowed only for those who did 
>> under-grad courses A and B. similarly graduate course M is allowed for 
>> under-grad courses B and C. so following paths are invalid and would return 
>> wrong results.
>> A precedes E precedes M
>> C precedes E precedes N
>>
>> I think, rather taking care in query, the data modeling should be 
>> correct. How to arrange above data in graph so that I get valid paths?
>>
>> Thanks,
>> R
>>
>>
>> On Saturday, November 7, 2015 at 5:47:57 AM UTC+5:30, Michael Hunger 
>> wrote:
>>>
>>> perhaps you can be a bit more concrete?
>>>
>>> which data has which dependencies
>>>
>>> You can also specify predicates on node and relationship-properties for 
>>> your path
>>>
>>> e.g. where a.time < b.time < c.time
>>>
>>> Michael
>>>
>>> Am 06.11.2015 um 17:17 schrieb Rasik Fulzele <[email protected]>:
>>>
>>> Hi,
>>>
>>> I'm new to neo4j and don't know what this problem is called as. So 
>>> posting here without much exploration of previous posts.
>>>
>>> I'm modeling data in graph but the combination of edges in paths become 
>>> significant. How to model in such scenario?
>>>
>>> for example,
>>> create 
>>> (node1)
>>> ,(node2)
>>> ,(node3)
>>> ,(node4)
>>> ,(node5)
>>> ,(node6)
>>> ,(node7)
>>> ,(node1)-[:precedes]->(node5)
>>> ,(node2)-[:precedes]->(node5)
>>> ,(node3)-[:precedes]->(node5)
>>> ,(node4)-[:precedes]->(node5)
>>> ,(node5)-[:precedes]->(node6)
>>> ,(node5)-[:precedes]->(node7)
>>>
>>> when I try to find out list of all paths I'll get total 8 paths. But for 
>>> my data, only few paths are significant and that should be my output.
>>> ie. only 4 paths should be in output because data (of nodes) has 
>>> dependencies. 
>>> (node1)-[:precedes]->(node5)-[:precedes]->(node6)
>>> (node3)-[:precedes]->(node5)-[:precedes]->(node6)
>>> (node3)-[:precedes]->(node5)-[:precedes]->(node7)
>>> (node4)-[:precedes]->(node5)-[:precedes]->(node7)
>>>
>>> whereas path like (node1)-[:precedes]->(node5)-[:precedes]->(node7) is 
>>> invalid combination.
>>>
>>> Question is how to model such cases so that I always get proper 
>>> combination of edges.
>>>
>>> Thanks,
>>> Rasik
>>>
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