Thanks again for precious help! Ultimately, could you please point me towards some material or code examples (virtual or not) that would allow me to obtain a better grasp of neo4j's centrality algorithms and, in particular, projections?
Thanks again Andrea Il giorno gio 17 gen 2019 alle ore 13:52 'Michael Hunger' via Neo4j < neo4j@googlegroups.com> ha scritto: > Cool that it worked for you. > > For more iterative approaches it could work just to run it multiple times > and add e.g. `(m.pageRank + n.pageRank)/2` to the weight. > > Otherwise one would have to provide an option for "dynamic" weight > computation in the library. > > We plan to make the library more extensible and dynamic in 2019 probably > not in the very near future though as we work on some other topics. > > Join our new Community Site & Forum <https://community.neo4j.com> > > > On Thu, Jan 17, 2019 at 1:24 PM Andrea Balzoni < > andrea.balz...@keypartner.it> wrote: > >> Hi, thanks for your answer. I tried running your code this : >> >> call algo.pageRank.stream( >> 'MATCH (m:Movie) RETURN id(m) as id', >> 'MATCH (m:Movie)<-[:ACTED_IN]-(p:Person)-[:ACTED_IN]->(n:Movie) >> RETURN id(m) as source, id(n) as target, size( (p)-[:ACTED_IN]->() ) as >> weight', >> {graph:'cypher',weightProperty: 'weight'}) >> YIELD node, score WITH node, score >> ORDER BY score DESC LIMIT 200 >> RETURN node.title as movie, score >> >> with a small correction where i replaced "m" with "n" in "id(n) as >> target" and it worked just fine. The follow-up question would be: is there >> a way to make this more "iterative"? Instead of using the actors' degree, >> is there a way to make it "more iterative" and, instead of giving to every >> movie the same importance towards the actors' degree, take into account the >> movies' importance aswell and make them weight more or less according to >> that? Thanks again! >> >> Andrea >> >> Il giorno gio 17 gen 2019 alle ore 12:25 'Michael Hunger' via Neo4j < >> neo4j@googlegroups.com> ha scritto: >> >>> I guess based on your description, the a projection like this would make >>> most sense. Using the actor's degree as weight for page-rank >>> >>> call algo.pageRank.stream(' >>> MATCH (m:Movie) RETURN id(m) as id >>> ',' >>> MATCH (m:Movie)<-[:ACTED_IN]-(p:Person)-[:ACTED_IN]->(n:Movie) >>> RETURN id(m) as source, id(m) as target, size( (p)-[:ACTED_IN]->() ) as >>> weight >>> ', {graph:'cypher',weightProperty: 'weight'}) >>> >>> Cheers, Michael >>> >>> Join our new Community Site & Forum <https://community.neo4j.com> >>> >>> >>> On Thu, Jan 17, 2019 at 11:55 AM <andrea.balz...@keypartner.it> wrote: >>> >>>> Hi, i'm failry new to neo4j and i was playing around with the movie >>>> database that comes by default when installing neo4j. I would like to >>>> calculate the importance of each movie based on the actors that acted in >>>> them considering each actor more or less important according to the number >>>> of movies they acted in. I was thinking about some kind of iterative >>>> algorithm and since the eigenvector centrality is missing from neo4j i was >>>> looking at pageRank. >>>> >>>> What would be the best approach in this scenario to use pageRank >>>> correctly? I'm a bit lost and googling around didn't help much as what i'm >>>> looking for seems more specific than the average info you can find online. >>>> Thanks for reading and sorry for my bad english. >>>> >>>> -- >>>> 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. >>>> >>> -- >>> 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. >>> >> >> >> -- >> *Andrea Balzoni | **Consultant* >> >> *Roma*, >> <https://maps.google.com/?q=Roma+,+%C2%A0+Via+F.+Cangiullo,+24&entry=gmail&source=g> >> >> <https://maps.google.com/?q=Roma+,+%C2%A0+Via+F.+Cangiullo,+24&entry=gmail&source=g>Via >> F. Cangiullo, 24 - *Milano*, Via Aosta, 4 >> Office: +39 06.5922216 | Mobile: +39 333741162X >> Mail: andrea.balz...@keypartner.it <nome.cogn...@keypartner.it> >> >> >> Visit our new website www.KeyPartner.com <http://www.keypartner.com/> >> >> -- >> 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. >> > -- > 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. > -- *Andrea Balzoni | **Consultant* *Roma*, <https://maps.google.com/?q=Roma+,+%C2%A0+Via+F.+Cangiullo,+24&entry=gmail&source=g> <https://maps.google.com/?q=Roma+,+%C2%A0+Via+F.+Cangiullo,+24&entry=gmail&source=g>Via F. Cangiullo, 24 - *Milano*, Via Aosta, 4 Office: +39 06.5922216 | Mobile: +39 333741162X Mail: andrea.balz...@keypartner.it <nome.cogn...@keypartner.it> Visit our new website www.KeyPartner.com <http://www.keypartner.com/> -- 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.
