Sorry if this is dumb but I was just thinking I should give a shot. Say I have a graph thats huge(for example, 100 billion nodes). Neo4J supports 32 Billion and others support more or less the same, so say I cannot have the entire dataset in a database at the same time, can I run pagerank on it if its a directed graph(no loops) and each set of nodes connect to the next set of nodes(so no new links will be created backwards, only new links are created to new sets of data).
Is there a way I can somehow take the previous pagerank scores and apply them to new datasets(I only care about the pagerank for the most recent set of data but need the previous set's pagerank to derive the last sets data)?
Does that make sense? If so, is it possible to do?