Nodes

#this generates nodes for the socialnetwork graph

import csv
from nltk.tag import pos_tag
#creates word pairs csv by cooccurence by verse
with open("kingjames.tsv") as tsvfile, open("nodes.csv",'wb') as f:
    biblebychapter = list()
    for line in tsvfile:
        line = line.strip('\n')
        line = line.split('\t')
        propernouns = list()
        text =  pos_tag(line[3].split())
        for tup in text:
                if tup[1] == 'NNP':
                        propernouns.append(tup[0].strip(",;.:)?'"))
        unique = set(propernouns)
        if len(list(unique)) > 1:
                biblebychapter.append((line[0],line[1],line[2],list(unique)))

    wordpairs = list()
    uniquewords = set()
    for verse in biblebychapter:
        uniquepairs = set()

        for word1 in verse[3]:
                uniquewords.add(word1)
                for word2 in verse[3]:
                        uniquewords.add(word2)
                        if word1 != word2:
                                plist =sorted([word1, word2])
                                pair = tuple(plist)
                                uniquepairs.add(pair)
        versenum = verse[0] + " " + verse[1] + ":" + verse[2]
        for pair in uniquepairs:
                wordpairs.append([pair[0],pair[1],versenum])
    writer = csv.writer(f)
    wordlist = list(uniquewords)
    listoflists = list()
    for word in wordlist:
        listoflists.append([word])
    for word in listoflists:
        writer.writerows([word])


print(listoflists)