This shows you the differences between two versions of the page.
| — |
notes:net:pokec [2015/07/16 22:23] (current) vlado created |
||
|---|---|---|---|
| Line 1: | Line 1: | ||
| + | ====== Pokec ====== | ||
| + | |||
| + | ===== Pokec social network ===== | ||
| + | |||
| + | http://snap.stanford.edu/data/soc-pokec.html | ||
| + | |||
| + | Pokec is the most popular Slovak on-line social network. These datasets | ||
| + | are anonymized and contains relationships and user profile data of the | ||
| + | whole network. Profile data are in Slovak language. Friendships in the | ||
| + | Pokec network are oriented. Datasets were crawled during MAY 25-27 2012. | ||
| + | |||
| + | Author: Lubos Takac, lubos.takac@gmail.com | ||
| + | <code> | ||
| + | DATASET STATISTICS: | ||
| + | |||
| + | Nodes ............................ 1632803 | ||
| + | Edges ............................ 30622564 | ||
| + | Nodes in largest WCC ............. 1632803 (1.000) | ||
| + | Edges in largest WCC ............. 30622564 (1.000) | ||
| + | Nodes in largest SCC ............. 1304537 (0.799) | ||
| + | Edges in largest SCC ............. 29183655 (0.953) | ||
| + | Average clustering coefficient ... 0.1094 | ||
| + | Number of triangles .............. 32557458 | ||
| + | Fraction of closed triangles ..... 0.01611 | ||
| + | Diameter (longest shortest path) . 11 | ||
| + | 90-percentile effective diameter . 5.3 | ||
| + | </code> | ||
| + | The data file "soc-pokec-profiles.txt.gz" is large. To unzip it I installed the gzip (http://www.gzip.org/ , http://gnuwin32.sourceforge.net/packages/gzip.htm ). Also TextPad and other text editors were not able to browse/edit the file "soc-pokec-profiles.txt". I further installed the editor http://www.emeditor.com/ (trial version). It works nicely. | ||
| + | |||
| + | ===== Conversion to Pajek ===== | ||
| + | |||
| + | I first processed the data on 8G 64-bit notebook. | ||
| + | <code> | ||
| + | > setwd("D:/Data/SNAP") | ||
| + | > d <- read.delim("soc-pokec-profiles.txt",header=FALSE,sep="\t") | ||
| + | > head(d) | ||
| + | V1 V2 V3 V4 V5 V6 V7 V8 V9 | ||
| + | 1 1 1 14 1 zilinsky kraj, zilina 2012-05-25 11:20:00.0 2005-04-03 00:00:00.0 26 185 cm, 90 kg | ||
| + | 2 2 1 62 0 zilinsky kraj, kysucke nove mesto 2012-05-25 23:08:00.0 2007-11-30 00:00:00.0 0 166 cm, 58 kg | ||
| + | 3 16 1 64 1 zilinsky kraj, kysucke nove mesto 2012-05-25 23:19:40.0 2008-05-18 00:00:00.0 23 173 cm, 70 kg | ||
| + | 4 3 0 38 1 bratislavsky kraj, bratislava - karlova ves 2012-05-10 18:05:00.0 2010-05-23 00:00:00.0 29 null | ||
| + | 5 4 1 12 0 banskobystricky kraj, brezno 2011-12-29 12:25:00.0 2011-12-29 00:00:00.0 26 null | ||
| + | 6 17 1 47 0 zilinsky kraj, martin 2012-05-25 09:40:00.0 2006-10-21 00:00:00.0 27 162 cm, 60 kg | ||
| + | V10 V11 | ||
| + | 1 it anglicky | ||
| + | 2 null nemecky | ||
| + | 3 najvatcsej firme na svete urad prace no predsa svoj :d a najlepsie druhy | ||
| + | 4 reklamy a medii, sluzieb a obchodu anglicky, nemecky | ||
| + | 5 null null | ||
| + | 6 null anglicky, nemecky | ||
| + | V12 | ||
| + | 1 sportovanie, spanie, kino, jedlo, pocuvanie hudby, priatelia, divadlo | ||
| + | 2 turistika, prace okolo domu, praca s pc, pocuvanie hudby, pozeranie filmov, tancovanie, diskoteky, kupalisko, varenie, party, priatelia, spanie, nakupovanie, stanovanie | ||
| + | 3 cestovanie, pocuvanie hudby, nenudit sa | ||
| + | 4 sportovanie, cestovanie | ||
| + | 5 null | ||
| + | 6 citanie, pocuvanie hudby, pozeranie filmov, spanie, nakupovanie | ||
| + | V13 V14 V15 | ||
| + | 1 v dobrej restauracii mam psa null | ||
| + | 2 pri svieckach s partnerom macka priemerna | ||
| + | 3 v dobrej restauracii ja a nas prefikany alik :) nemozem pribrat nedasa smola som moc aktivny | ||
| + | 4 null null null | ||
| + | 5 null null null | ||
| + | 6 null pes priemerna | ||
| + | V16 V17 V18 V19 | ||
| + | 1 null null null null | ||
| + | 2 vyborny zelene cierne dlhe | ||
| + | 3 to co by som mal nosit tak nenosim asi tak hnede hnede hnede null | ||
| + | 4 null zelene hnede null | ||
| + | 5 null null null null | ||
| + | 6 null zelene blond, odfarbene dlhe | ||
| + | V20 V21 V22 | ||
| + | 1 null null null | ||
| + | 2 zakladne, ale som uz na strednej skole dufam ze ju spravim cierna, modra, ruzova nefajcim | ||
| + | 3 coskoro 24.5 alebo 31.9 :d biela, modra, zelena nemam | ||
| + | 4 null cierna, modra null | ||
| + | 5 null null null | ||
| + | 6 vysokoskolske biela, cierna, modra, fialova nefajcim | ||
| + | V23 V24 | ||
| + | 1 null null | ||
| + | 2 pijem prilezitostne, iba ked sa nieco kona a to napr. na zabave,na chate,na stanovackach a pod. byk | ||
| + | 3 pijem iba ked musim ...svadby.pohreby.krstiny a tak lev | ||
| + | 4 null null | ||
| + | 5 null null | ||
| + | 6 pijem prilezitostne rak | ||
| + | V25 | ||
| + | 1 null | ||
| + | 2 dobreho priatela, priatelku, mozno aj viac | ||
| + | 3 null | ||
| + | 4 dobreho priatela, priatelku, niekoho na chatovanie | ||
| + | 5 null | ||
| + | 6 null | ||
| + | V26 | ||
| + | 1 null | ||
| + | 2 nie je nic lepsie, ako byt zamilovany(a) | ||
| + | 3 oplati sa pre nu bojovat | ||
| + | 4 null | ||
| + | 5 null | ||
| + | 6 nie je nic lepsie, ako byt zamilovany(a), hladat lasku?nezmysel...hovori rozum. smiesne...hovori hrdost. riskantne...brani skusenost. \\"ale samota ta zabija\\" sepka srdce! | ||
| + | V27 V28 V29 | ||
| + | 1 null null null | ||
| + | 2 iba s mojou laskou laskou mojho zivota slobodny(a) | ||
| + | 3 ja uz som stary na take veci :) ked ho stretnem tak vam o nom porozpravam :) slobodny(a) | ||
| + | 4 null null slobodny(a) | ||
| + | 5 null null null | ||
| + | 6 nedokazem mat s niekym sex bez lasky null vydata za najuzasnejsieho cloveka pod slnkom | ||
| + | V30 | ||
| + | 1 null | ||
| + | 2 no budu a tak chcem 2 deti staci a tak ked budeme vladat tak bude aj viac co ja viem co ma v zivote postretne:d | ||
| + | 3 casom ak budem este vladat :d | ||
| + | 4 null | ||
| + | 5 null | ||
| + | 6 null | ||
| + | V31 V32 V33 | ||
| + | 1 null null null | ||
| + | 2 v buducnosti chcem mat deti komedie, romanticke doma z gauca | ||
| + | 3 null take co ma uputaju v kine s ludmy ktory mam rad | ||
| + | 4 null akcne, horory, komedie, sci-fi, dokumentarne, historicke null | ||
| + | 5 null null null | ||
| + | 6 v buducnosti chcem mat deti null null | ||
| + | V34 | ||
| + | 1 null | ||
| + | 2 disko, pop, rap a jasn eto co teraz leti najviac nejlepsie je fun-radio | ||
| + | 3 hoci co co zapasuje ale klasa vede atb samozrejme najnovsie co sa hrava vrebrickoch hytparad :xd | ||
| + | 4 rock, metal, house, techno, pop, oldies, jazz | ||
| + | 5 null | ||
| + | 6 null | ||
| + | V35 V36 V37 | ||
| + | 1 null null null | ||
| + | 2 na diskoteke, pri chodzi pri svieckach s partnerom slovenskej | ||
| + | 3 samozrejme sam kazdy ma iny vkus neda sa vsetkym vyhoviet null ak sa to da ziet tak setko | ||
| + | 4 v aute, v praci, na koncerte, s partnerom null slovenskej, talianskej, japonskej | ||
| + | 5 null null null | ||
| + | 6 null null null | ||
| + | V38 V39 | ||
| + | 1 null null | ||
| + | 2 <div> <a title=vstup do klubu href=/klub/profesionali>profesiona­li</a> </div> null | ||
| + | 3 null nie | ||
| + | 4 null pravidelne | ||
| + | 5 null null | ||
| + | 6 null null | ||
| + | V40 V41 V42 V43 | ||
| + | 1 null null null null | ||
| + | 2 null null null null | ||
| + | 3 lyzovanie, plavanie non kanal bit lepsi ako druhy uz ich moc nectem | ||
| + | 4 hokej, futbal, auto-moto sporty, squash auto-moto sporty, futbal, hokej null null | ||
| + | 5 null null null null | ||
| + | 6 aerobik, kolieskove korcule, plavanie, posilnovanie null zivnostnik null | ||
| + | V44 V45 V46 V47 | ||
| + | 1 null null null null | ||
| + | 2 null null null null | ||
| + | 3 null null null null | ||
| + | 4 null null null null | ||
| + | 5 null null null null | ||
| + | 6 <div> <a title=vstup do klubu href=/klub/magazin-pre-mamicky-najmama-sk>magazin pre mamicky najmama.sk</a> </div> null null null | ||
| + | V48 V49 V50 V51 V52 V53 V54 V55 V56 V57 V58 V59 V60 | ||
| + | 1 null null null null null null null null null null null null NA | ||
| + | 2 null null null null null null null null null null null null NA | ||
| + | 3 null null null null null null null null null null null null NA | ||
| + | 4 null null null null null null null null null null null null NA | ||
| + | 5 null null null null null null null null null null null null NA | ||
| + | 6 null null null null null null null null null null null null NA | ||
| + | > | ||
| + | </code> | ||
| + | I added the column names: | ||
| + | <code> | ||
| + | colNames <- c( | ||
| + | "user_id", | ||
| + | "public", | ||
| + | "completion_percentage", | ||
| + | "gender", | ||
| + | "region", | ||
| + | "last_login", | ||
| + | "registration", | ||
| + | "AGE", | ||
| + | "body", | ||
| + | "I_am_working_in_field", | ||
| + | "spoken_languages", | ||
| + | "hobbies", | ||
| + | "I_most_enjoy_good_food", | ||
| + | "pets", | ||
| + | "body_type", | ||
| + | "my_eyesight", | ||
| + | "eye_color", | ||
| + | "hair_color", | ||
| + | "hair_type", | ||
| + | "completed_level_of_education", | ||
| + | "favourite_color", | ||
| + | "relation_to_smoking", | ||
| + | "relation_to_alcohol", | ||
| + | "sign_in_zodiac", | ||
| + | "on_pokec_i_am_looking_for", | ||
| + | "love_is_for_me", | ||
| + | "relation_to_casual_sex", | ||
| + | "my_partner_should_be", | ||
| + | "marital_status", | ||
| + | "children", | ||
| + | "relation_to_children", | ||
| + | "I_like_movies", | ||
| + | "I_like_watching_movie", | ||
| + | "I_like_music", | ||
| + | "I_mostly_like_listening_to_music", | ||
| + | "the_idea_of_good_evening", | ||
| + | "I_like_specialties_from_kitchen", | ||
| + | "fun", | ||
| + | "I_am_going_to_concerts", | ||
| + | "my_active_sports", | ||
| + | "my_passive_sports", | ||
| + | "profession", | ||
| + | "I_like_books", | ||
| + | "life_style", | ||
| + | "music", | ||
| + | "cars", | ||
| + | "politics", | ||
| + | "relationships", | ||
| + | "art_culture", | ||
| + | "hobbies_interests", | ||
| + | "science_technologies", | ||
| + | "computers_internet", | ||
| + | "education", | ||
| + | "sport", | ||
| + | "movies", | ||
| + | "travelling", | ||
| + | "health", | ||
| + | "companies_brands", | ||
| + | "more" ) | ||
| + | </code> | ||
| + | and | ||
| + | <code> | ||
| + | > dim(d) | ||
| + | [1] 1062701 60 | ||
| + | > colnames(d) <- colNames | ||
| + | > write.table(d,"pokec.csv",sep=";") | ||
| + | > e <- d[,c(1:37,39:43)] | ||
| + | > dim(e) | ||
| + | [1] 1062701 42 | ||
| + | > write.table(e,"pikec.csv",sep=";") | ||
| + | </code> | ||
| + | There is a problem. In R we get only 1062701 rows. I was not able to find the error in R commands or input files. I decided to make the selection of variables in Python. | ||
| + | |||
| + | ===== Selection of variables ===== | ||
| + | |||
| + | <code> | ||
| + | import csv, sys, os | ||
| + | # http://docs.python.org/py3k/library/csv.html | ||
| + | # http://snap.stanford.edu/data/soc-pokec.html | ||
| + | os.chdir("D:/Data/SNAP/pokec") | ||
| + | podatki = "soc-pokec-profiles.txt" | ||
| + | cns = [ "user_id", "public", "completion_percentage", "gender", "region", | ||
| + | "last_login", "registration", "age", "body", "I_am_working_in_field", | ||
| + | "spoken_languages", "hobbies", "I_most_enjoy_good_food", "pets", | ||
| + | "body_type", "my_eyesight", "eye_color", "hair_color", "hair_type", | ||
| + | "completed_level_of_education", "favourite_color", "relation_to_smoking", | ||
| + | "relation_to_alcohol", "sign_in_zodiac", "on_pokec_i_am_looking_for", | ||
| + | "love_is_for_me", "relation_to_casual_sex", "my_partner_should_be", | ||
| + | "marital_status", "children", "relation_to_children", "I_like_movies", | ||
| + | "I_like_watching_movie", "I_like_music", "I_mostly_like_listening_to_music", | ||
| + | "the_idea_of_good_evening", "I_like_specialties_from_kitchen", "fun", | ||
| + | "I_am_going_to_concerts", "my_active_sports", "my_passive_sports", | ||
| + | "profession", "I_like_books", "life_style", "music", "cars", "politics", | ||
| + | "relationships", "art_culture", "hobbies_interests", "science_technologies", | ||
| + | "computers_internet", "education", "sport", "movies", "travelling", | ||
| + | "health", "companies_brands", "more" ] | ||
| + | with open(podatki,newline='',encoding='utf-8') as dat,\ | ||
| + | open('pokec1.csv','w',newline='',encoding='utf-8') as lst: | ||
| + | datReader = csv.reader(dat,delimiter='\t',quotechar='"') | ||
| + | lstWriter = csv.writer(lst,delimiter=';',quotechar='|', | ||
| + | quoting=csv.QUOTE_NONNUMERIC) | ||
| + | n = 0 | ||
| + | try: | ||
| + | lstWriter.writerow(cns[0:36]+cns[38:42]) | ||
| + | for row in datReader: | ||
| + | n = n+1 | ||
| + | if (n % 10000) == 0: print(n) | ||
| + | lstWriter.writerow(row[0:36]+row[38:42]) | ||
| + | except csv.Error as e: | ||
| + | sys.exit('file {}, line {}: {}'.format( | ||
| + | podatki, datReader.line_num, e)) | ||
| + | print(n) | ||
| + | </code> | ||
| + | The rest was done in R. | ||
| + | |||
| + | ==== pokecA.RData ==== | ||
| + | |||
| + | <code> | ||
| + | > setwd("D:/Data/SNAP/pokec") | ||
| + | > sel <- c(rep("character",11),rep("NULL",29)) | ||
| + | > system.time({d <- read.csv("pokec1.csv",header=TRUE,sep=";",colClasses=sel, | ||
| + | + na.strings=c("null"),fill=TRUE,quote="|",comment.char="",flush=TRUE)}) | ||
| + | user system elapsed | ||
| + | 292.17 2.75 317.88 | ||
| + | > | ||
| + | > dim(d) | ||
| + | [1] 1632803 11 | ||
| + | > summary(d) | ||
| + | user_id public completion_percentage gender | ||
| + | region last_login registration age | ||
| + | body I_am_working_in_field spoken_languages | ||
| + | > id <- as.integer(d$user_id) | ||
| + | > public <- as.integer(d$public) | ||
| + | > table(public) | ||
| + | public | ||
| + | 0 1 | ||
| + | 552525 1080278 | ||
| + | > complete <- as.numeric(d$completion_percentage) | ||
| + | > summary(complete) | ||
| + | Min. 1st Qu. Median Mean 3rd Qu. Max. | ||
| + | 0.00 12.00 41.00 39.79 64.00 100.00 | ||
| + | > gender <- as.integer(d$gender) | ||
| + | > table(gender) | ||
| + | gender | ||
| + | 0 1 | ||
| + | 828304 804336 | ||
| + | > reg <- d$region | ||
| + | > head(reg) | ||
| + | [1] "zilinsky kraj, zilina" | ||
| + | [2] "zilinsky kraj, kysucke nove mesto" | ||
| + | [3] "zilinsky kraj, kysucke nove mesto" | ||
| + | [4] "bratislavsky kraj, bratislava - karlova ves" | ||
| + | [5] "banskobystricky kraj, brezno" | ||
| + | [6] "zilinsky kraj, martin" | ||
| + | > i <- 1:length(reg) | ||
| + | > length(i) | ||
| + | [1] 1632803 | ||
| + | > s <- unlist(strsplit(reg,', ')) | ||
| + | > county <- s[2*i-1] | ||
| + | > place <- s[2*i] | ||
| + | > head(county) | ||
| + | [1] "zilinsky kraj" "zilinsky kraj" "zilinsky kraj" | ||
| + | [4] "bratislavsky kraj" "banskobystricky kraj" "zilinsky kraj" | ||
| + | > pla <- as.factor(place) | ||
| + | > age <- as.integer(d$age) | ||
| + | > summary(age) | ||
| + | Min. 1st Qu. Median Mean 3rd Qu. Max. NA's | ||
| + | 0.00 0.00 19.00 17.07 26.00 112.00 163.00 | ||
| + | > login <- as.Date(d$last_login) | ||
| + | > register <- as.Date(d$registration) | ||
| + | > body <- d$body | ||
| + | > work <- d$I_am_working_in_field | ||
| + | > lang <- d$spoken_languages | ||
| + | > save(id,public,complete,gender,reg,age,login,register,body,work,lang,file="pokecA.RData") | ||
| + | </code> | ||
| + | |||
| + | [[http://vlado.fmf.uni-lj.si/pub/networks/Data/snap/pokecA.RData|pokecA.RData]] (34 M) | ||
| + | |||
| + | ==== pokecB.RData ==== | ||
| + | |||
| + | <code> | ||
| + | > setwd("D:/Data/SNAP/pokec") | ||
| + | > sel <- c("character",rep("NULL",10),"character","NULL","character",rep("NULL",2), | ||
| + | + rep("character",3),"NULL",rep("character",4),rep("NULL",4),"character", | ||
| + | + rep("NULL",2),rep("character",3),rep("NULL",2),rep("character",4)) | ||
| + | > system.time({d <- read.csv("pokec1.csv",header=TRUE,sep=";",colClasses=sel, | ||
| + | + na.strings=c("null"),fill=TRUE,quote="|",comment.char="",flush=TRUE)}) | ||
| + | user system elapsed | ||
| + | 277.35 3.35 285.64 | ||
| + | > dim(d) | ||
| + | [1] 1632803 18 | ||
| + | > save(d,file="pokecB.RData") | ||
| + | </code> | ||
| + | |||
| + | [[http://vlado.fmf.uni-lj.si/pub/networks/Data/snap/pokecB.RData|pokecB.RData]] (101 M) | ||
| + | |||
| + | ===== Cleaning of variables ===== | ||
| + | |||
| + | <code> | ||
| + | > setwd("D:/Data/SNAP/pokec") | ||
| + | > load("pokecB.RData") | ||
| + | > objects() | ||
| + | [1] "d" | ||
| + | > dim(d) | ||
| + | [1] 1632803 18 | ||
| + | > colnames(d) | ||
| + | [1] "user_id" "hobbies" "pets" | ||
| + | [4] "eye_color" "hair_color" "hair_type" | ||
| + | [7] "favourite_color" "relation_to_smoking" "relation_to_alcohol" | ||
| + | [10] "sign_in_zodiac" "marital_status" "I_like_movies" | ||
| + | [13] "I_like_watching_movie" "I_like_music" "I_am_going_to_concerts" | ||
| + | [16] "my_active_sports" "my_passive_sports" "profession" | ||
| + | |||
| + | > zodiac <- d$sign_in_zodiac | ||
| + | > zod <- substr(zodiac,1,3) | ||
| + | > t <- table(zod) | ||
| + | > sort(t,decreasing=TRUE)[1:30] | ||
| + | zod | ||
| + | lev rak bli byk bar ryb pan vod sko koz vah str som ... to rac | ||
| + | 76264 71131 69216 68539 67214 65253 63696 63091 62407 61758 61670 59191 1668 1066 840 821 | ||
| + | nev ♥ tak tvr ja pot opi dra kra no pes had kro nep | ||
| + | 657 621 571 552 520 497 478 473 414 407 380 377 362 340 | ||
| + | > | ||
| + | |||
| + | > eyeC <- d$eye_color | ||
| + | > ec <- substr(eyeC,1,6) | ||
| + | > t <- table(ec) | ||
| + | > sort(t,decreasing=TRUE)[1:30] | ||
| + | ec | ||
| + | hnede modre zelene hnede, modre, cierne zeleno sive modro- hnedoz hnedo- hnede modre | ||
| + | 297289 198895 149255 30104 25288 24374 21679 11605 6688 5771 5509 5105 4315 | ||
| + | modroz modro hnedo hneda sive, modra zelena cerven tmavo podla modruc sivomo krasne | ||
| + | 3879 3519 3418 3415 3399 2527 1893 1563 1323 1298 1178 1107 1059 | ||
| + | hnede. modros neviem cokola | ||
| + | 1055 1032 1007 933 | ||
| + | |||
| + | > pets <- substr(d$pets,1,6) | ||
| + | > t <- table(pets) | ||
| + | > sort(t,decreasing=TRUE)[1:30] | ||
| + | pets | ||
| + | nemam mam ps pes pes, m mam ma macka, pes, r mam ry macka mam ko vtacik | ||
| + | 128457 116975 76026 34902 25878 14513 11031 9544 8331 7730 7398 | ||
| + | pes, v mam vt rybky mam hl korytn pes, a rybky, mal so pes, k papaga mala s | ||
| + | 6992 6626 6275 6171 5913 4784 4719 4612 4180 3953 3947 | ||
| + | mam dv nemam skreco mam pa pes, p mam br mam 2 mam ha | ||
| + | 3775 3693 3509 3343 3167 2746 2503 2390 | ||
| + | </code> | ||
| + | |||
| + | ===== Making the network ===== | ||
| + | |||
| + | To produce the network data the properties should be reordered with respect to | ||
| + | the ''user_id''. | ||
| + | <code> | ||
| + | Subject: Re: Pokec | ||
| + | From: Ľuboš Takáč <lubos.takac@gmail.com> | ||
| + | Date: Sat, May 18, 2013 17:07 | ||
| + | To: vladimir.batagelj@fmf.uni-lj.si | ||
| + | |||
| + | Hallo Vladimir, | ||
| + | the number corresponds to user_id, | ||
| + | it mean that f.e. row in relationship file | ||
| + | 4 5 | ||
| + | is friendship relation between users with ids 4 and 5, there is not | ||
| + | garanted that you find it in profiles data on rows 4 or 5. You have to find | ||
| + | users wit such ids. | ||
| + | |||
| + | So as you said in second example. | ||
| + | |||
| + | Kind regards Lubos Takac. | ||
| + | |||
| + | |||
| + | 2013/5/18 Vladimir Batagelj <vladimir.batagelj@fmf.uni-lj.si> | ||
| + | |||
| + | > Dear Lubos Takac, | ||
| + | > | ||
| + | > at http://snap.stanford.edu/data/soc-pokec.html I found your data set | ||
| + | > on Pokec. I would like to know what is the relation between node | ||
| + | > numbers in network and the "user_id"s in the descriptions. | ||
| + | > Is | ||
| + | > the i-th row in the description file the description of the i-th node; | ||
| + | > or | ||
| + | > the i-th row in the description file is the description of the | ||
| + | > corresponding user_id node; | ||
| + | > or | ||
| + | > something else? | ||
| + | > | ||
| + | > best regards, Vladimir Batagelj | ||
| + | > -- | ||
| + | > Vladimir Batagelj, University of Ljubljana, FMF, Department of Mathematics | ||
| + | > Jadranska 19, 1000 Ljubljana, Slovenia | ||
| + | > http://vladowiki.fmf.uni-lj.si/doku.php?id=vlado | ||
| + | </code> | ||