Hi Jörn, thank you for replying. By « path analysis », I mean « the user’s navigation from page to page on the website » and by « clicking trends » I mean « which buttons does he/she click and in what order ». In other words, I’d like to measure, make sense out of, and perhaps, predict user behavior.
Philippe > Le 10 févr. 2018 à 16:03, Jörn Franke <jornfra...@gmail.com> a écrit : > > What do you mean by path analysis and clicking trends? > > If you want to use typical graph algorithm such as longest path, shortest > path (to detect issues with your navigation page) or page rank then probably > yes. Similarly if you do a/b testing to compare if you sell more with > different navigation or product proposals. > > Really depends your analysis. Only if it looks like a graph does not mean you > need to do graph analysis . > Then another critical element is how to visualize the results of your graph > analysis (does not have to be a graph to visualize, but it could be also a > table with if/then rules , eg if product placed at top right then 50% more > people buy it). > > However if you want to do some other analysis such as random forests or > Markov chains then graphx alone will not help you much. > >> On 10. Feb 2018, at 15:49, Philippe de Rochambeau <phi...@free.fr> wrote: >> >> Hello, >> >> Let’s say a website log is structured as follows: >> >> <date and time>;<web item trigram>;<web page trigram>;<user id> >> >> eg. >> >> 2018-01-02 12:00:00;OKK;PAG1;1234555 >> 2018-01-02 12:01:01;NEX;PAG1;1234555 >> 2018-01-02 12:00:02;OKK;PAG1;5556667 >> 2018-01-02 12:01:03;NEX;PAG1;5556667 >> >> where OKK stands for the OK Button on Page 1, NEX, the Next Button on Page >> 2, … >> >> Is GraphX the appropriate tool to analyse the website users’ paths and >> clicking trends, >> >> Many thanks. >> >> Philippe >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >> --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
