The graph represents a network of 2,060 Twitter users whose recent tweets contained "#IDF2019", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 05 December 2019 at 16:29 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 9-minute period from Tuesday, 26 November 2019 at 16:55 UTC to Thursday, 05 December 2019 at 16:04 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 2060
Unique Edges : 3838
Edges With Duplicates : 3975
Total Edges : 7813
Self-Loops : 738
Reciprocated Vertex Pair Ratio : 0.0569410726109027
Reciprocated Edge Ratio : 0.107746920025057
Connected Components : 54
Single-Vertex Connected Components : 28
Maximum Vertices in a Connected Component : 1857
Maximum Edges in a Connected Component : 7465
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.766272
Graph Density : 0.00112907104495065
Modularity : 0.477017
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,060 Twitter users whose recent tweets contained "#IDF2019", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 05 December 2019 at 16:29 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 9-minute period from Tuesday, 26 November 2019 at 16:55 UTC to Thursday, 05 December 2019 at 16:04 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #IDF2019
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[984] #diabetesyourtype,#idf2019 [976] #idf2019,#idfcongress [542] living,#type1diabetes [431] check,out [426] more,#diabetesyourtype [425] years,old [424] people,#diabetes [423] nothing,impossible [423] impossible,meet [423] meet,hoorfar Top Word Pairs in Tweet in G1:
[887] #diabetesyourtype,#idf2019 [883] #idf2019,#idfcongress [473] living,#type1diabetes [390] more,#diabetesyourtype [388] nothing,impossible [388] impossible,meet [388] meet,hoorfar [388] hoorfar,living [388] #type1diabetes,read [388] read,inspiring Top Word Pairs in Tweet in G2:
[100] peer,support [94] people,diabetes [71] living,diabetes [71] diabetes,#idf2019 [71] type,1 [63] don,t [63] #idf2019,#languagematters [61] type,2 [49] living,#diabetes [47] #idf2019,#insulin4all Top Word Pairs in Tweet in G3:
[52] find,out [46] #rethinkobesity,#idf2019 [43] people,living [37] amarput,mmamas1973 [34] docwas,amibanerjee1 [34] amibanerjee1,amarput [31] #idf2019,ldc_tweets [31] ldc_tweets,docwas [31] mmamas1973,drpatrickholmes [31] drpatrickholmes,abdtahrani Top Word Pairs in Tweet in G4:
[130] #unfairjudgingisu,#shameonisu [130] #shameonisu,olympicchannel [130] olympicchannel,playthegame_org [128] hi,isu_figure [125] isu_figure,judges [125] judges,give [125] give,unworthy [125] unworthy,goe [125] goe,n [125] n,chen Top Word Pairs in Tweet in G5:
[15] braun_lynne,gina_lundberg [11] gina_lundberg,drmalissawood [10] #idf2019,braun_lynne [8] #idf2019,drushasriram [8] gina_lundberg,drlaxmimehta [8] drlaxmimehta,drmalissawood [8] lifestyle,intervention [7] ncd,committee [6] fantastic,talk [6] talk,avolgman Top Word Pairs in Tweet in G6:
[75] #nathanchen,#ネイサンチェン [46] #shomauno,#宇野昌磨 [39] #ネイサンチェン,#нейтанчен [39] #нейтанчен,#idf2019 [36] #ネイサンチェン,#idf2019 [36] #idf2019,#нейтанчен [32] #宇野昌磨,#idf2019 [21] nathan,rafael [21] rafael,curls [21] curls,grey Top Word Pairs in Tweet in G7:
[23] noticias,desde [14] desde,congreso [14] congreso,#idf2019 [14] #idf2019,propuesta [14] propuesta,cambiar [14] cambiar,diagnóstico [14] diagnóstico,prediabetes [14] prediabetes,valor [14] valor,155mg [14] 155mg,1h Top Word Pairs in Tweet in G8:
[7] honour,chair [7] chair,present [7] present,indigenous [7] indigenous,session [7] session,#idf2019 [7] #idf2019,korea [7] korea,donaldwarnemd [7] donaldwarnemd,tionhnhehkwen [7] tionhnhehkwen,today [7] today,re Top Word Pairs in Tweet in G9:
[28] تكريم,الأطباء [28] الأطباء,د [28] د,منيرة [28] منيرة,العروج [28] العروج,ود [28] ود,عبدالله [28] عبدالله,بن [28] بن,نخي [28] نخي,لإنجازاتهم [28] لإنجازاتهم,العديدة Top Word Pairs in Tweet in G10:
[8] #wdd,#idf2019 [7] #idf2019,#jscdjo [7] #jscdjo,#worlddiabetesday [3] international,diabetes [2] biennial,international [2] diabetes,federation [2] federation,meets [2] meets,next [2] next,week [2] week,cover Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: