The graph represents a network of 3,452 Twitter users whose tweets in the requested range contained ""world aids day" OR #worldaidsday OR #worldaidsday20 OR #worldaidsday20 OR #wad OR #wad20 OR #wad2020", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 27 September 2020 at 21:05 UTC.
The requested start date was Sunday, 27 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 87-day, 6-hour, 6-minute period from Wednesday, 01 July 2020 at 00:04 UTC to Saturday, 26 September 2020 at 06:10 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 : 3452
Unique Edges : 1625
Edges With Duplicates : 6718
Total Edges : 8343
Number of Edge Types : 5
Replies to : 196
Retweet : 2866
MentionsInRetweet : 3445
Tweet : 867
Mentions : 969
Self-Loops : 976
Reciprocated Vertex Pair Ratio : 0.01239907727797
Reciprocated Edge Ratio : 0.024494446026773
Connected Components : 575
Single-Vertex Connected Components : 232
Maximum Vertices in a Connected Component : 757
Maximum Edges in a Connected Component : 1828
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.844492
Graph Density : 0.000294723715194313
Modularity : 0.433648
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,452 Twitter users whose tweets in the requested range contained "%22world aids day%22 OR #worldaidsday OR #worldaidsday20 OR #worldaidsday20 OR #wad OR #wad20 OR #wad2020", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 27 September 2020 at 21:05 UTC.
The requested start date was Sunday, 27 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 87-day, 6-hour, 6-minute period from Wednesday, 01 July 2020 at 00:04 UTC to Saturday, 26 September 2020 at 06:10 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 : GraphServerTwitterSearch
Graph Term : %22world aids day%22 OR #worldaidsday OR #worldaidsday20 OR #worldaidsday20 OR #wad OR #wad20 OR #wad2020
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[655] #wearedragons,#wad [562] aids,day [524] world,aids [465] unprotected,sex [465] sex,game [465] game,smart [465] mins,pleasure [465] pleasure,worth [465] worth,aids [463] smart,life Top Word Pairs in Tweet in G1:
[456] unprotected,sex [456] sex,game [456] game,smart [456] mins,pleasure [456] pleasure,worth [456] worth,aids [454] barbz,unprotected [454] smart,life [454] life,precious [454] precious,gift Top Word Pairs in Tweet in G2:
[655] #wearedragons,#wad [223] narumynatsue,#wearedragons [138] #wad,#wearedragons [85] cana,loves [85] loves,way [85] way,eyes [85] eyes,shine [85] shine,talk [85] talk,passion [85] passion,#wearedragons Top Word Pairs in Tweet in G3:
[83] world,aids [80] aids,day [11] #wad,#waddenzee [11] ãƒ,ム[9] day,world [8] buffy,vampire [8] vampire,slayer [8] account,affiliated [8] created,#bufferingsunshine [7] affiliated,verse Top Word Pairs in Tweet in G4:
[118] #waddenkust,#dezeekust [114] aan,#waddenkust [114] #dezeekust,#waddenzee [114] #waddenzee,#werelderfgoed [112] #werelderfgoed,#wadden [110] #wadden,#wad [95] #dutchsunset,#zonsondergang [94] #wad,#fryslân [90] #zonsondergang,aan [54] #fryslân,#wolkenlucht Top Word Pairs in Tweet in G5:
[13] prof,#joeplange [10] boss,prof [9] minvws,rivm [6] realdonaldtrump,whitehouse [6] govnl,minpres [5] hiv,#aids [5] hapelensrob,wybrenvanhaga [5] minpres,minvws [4] #mh17,cure [4] cure,#aids Top Word Pairs in Tweet in G6:
[36] #worldaidsday,2020 [33] produce,#healthandhiv [33] #healthandhiv,launching [33] launching,#worldaidsday [28] 2020,programme [27] joined,itnproductions [27] itnproductions,produce [26] people,living [26] living,hiv [26] britishhivassoc,joined Top Word Pairs in Tweet in G7:
[91] #unitedblacklibrary,arthur [91] arthur,ashe [91] ashe,1960s [91] 1960s,black [91] black,tennis [91] life,cut [91] cut,short [91] short,blood [91] blood,transfusion [91] transfusion,led Top Word Pairs in Tweet in G8:
[32] productive,joint [32] joint,iaf_global [32] iaf_global,ilac [32] ilac,marketing [32] marketing,communications [32] communications,meeting [32] meeting,held [32] held,over [32] over,90 [32] 90,delegates Top Word Pairs in Tweet in G9:
[22] hiv,prevention [9] prevention,plan [8] plan,include [8] include,decriminalizing [8] decriminalizing,hiv [8] hiv,drug [8] drug,use [8] use,sex [8] sex,work [8] work,hiv Top Word Pairs in Tweet in G10:
[17] compartimos,lectura [17] comunidades,marcan [17] marcan,diferencia [17] diferencia,texto [17] texto,elaborado [17] elaborado,unaids [17] unaids,marco [15] lectura,difusión [15] difusión,comunidades [9] first,lady Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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 Mentioned in G9:
Top Mentioned in G10:
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: