You've probably seen the documentation: https://neo4j.com/docs/graph-algorithms/current/algorithms/centrality/
the code is here: https://github.com/neo4j-contrib/neo4j-graph-algorithms/tree/3.4/algo/src/main/java/org/neo4j/graphalgo Michael Join our new Community Site & Forum <https://community.neo4j.com> On Thu, Jan 17, 2019 at 2:43 PM Andrea Balzoni <andrea.balz...@keypartner.it> wrote: > 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. > -- 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.
