The graph represents a network of 9,131 Twitter users whose tweets in the requested range contained "HIV AIDS", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 December 2020 at 02:12 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 21-hour, 10-minute period from Tuesday, 22 December 2020 at 16:22 UTC to Sunday, 27 December 2020 at 13:32 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 : 9131
Unique Edges : 4362
Edges With Duplicates : 10850
Total Edges : 15212
Number of Edge Types : 5
Retweet : 5056
MentionsInRetweet : 5772
Replies to : 1101
Mentions : 1930
Tweet : 1353
Self-Loops : 1399
Reciprocated Vertex Pair Ratio : 0.00918635170603675
Reciprocated Edge Ratio : 0.0182054616384915
Connected Components : 1673
Single-Vertex Connected Components : 642
Maximum Vertices in a Connected Component : 3175
Maximum Edges in a Connected Component : 6472
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.72733
Graph Density : 0.000101468187941779
Modularity : 0.569608
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,131 Twitter users whose tweets in the requested range contained "HIV AIDS", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 December 2020 at 02:12 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 21-hour, 10-minute period from Tuesday, 22 December 2020 at 16:22 UTC to Sunday, 27 December 2020 at 13:32 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 : HIV AIDS
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:
[4825] hiv,aids [1843] batang,poz [1684] awareness,hiv [1676] mga,batang [1662] poz,series [1660] spreads,awareness [1658] series,spreads [1658] judge,people [1657] aids,judge [1656] awrabriguelaaa,mga Top Word Pairs in Tweet in G1:
[1662] batang,poz [1652] hiv,aids [1640] awareness,hiv [1639] mga,batang [1638] poz,series [1638] series,spreads [1638] spreads,awareness [1638] aids,judge [1638] judge,people [1637] awrabriguelaaa,mga Top Word Pairs in Tweet in G2:
[442] hiv,aids [89] covid,19 [51] aids,hiv [46] fight,against [42] against,aids [42] anthony,fauci's [42] fauci's,fight [41] disease,treatment [41] treatment,cure' [41] cure',anthony Top Word Pairs in Tweet in G3:
[134] hiv,aids [83] alexander,jones [82] mads,brùgger [82] brùgger,journo [82] journo,spreading [82] spreading,aids [82] aids,alexander [82] jones,saimr [82] saimr,pretending [82] pretending,vaccinate Top Word Pairs in Tweet in G4:
[93] 80th,birthday [92] hiv,aids [79] small,gang [79] gang,tony [79] tony,fauci's [79] fauci's,hiv [79] aids,comrades [79] comrades,managed [78] peterstaley,small [77] managed,surprise Top Word Pairs in Tweet in G5:
[136] 1980s,fauci [136] fauci,birx [136] birx,others [136] others,strongly [136] strongly,warned [136] warned,against [136] against,blaming [136] blaming,segments [136] segments,society [136] society,those Top Word Pairs in Tweet in G6:
[138] hiv,aids [136] sad,thing [136] thing,#deborahbirx [136] #deborahbirx,long [136] long,career [136] career,including [136] including,running [136] running,pepfar [136] pepfar,working [136] working,hiv Top Word Pairs in Tweet in G7:
[46] hiv,aids [16] today,hero [16] hero,takes [16] aids,cdc [14] takes,reins [14] reins,hiv [9] looking,back [9] back,hiv [9] hiv,policy [9] policy,2020 Top Word Pairs in Tweet in G8:
[92] 123,000 [92] 000,293 [92] 293,000 [92] infections,69 [92] 69,000 [91] 000,additional [90] modelling,warns [90] warns,#covid19 [90] #covid19,related [90] related,disruptions Top Word Pairs in Tweet in G9:
[36] hiv,aids [14] aids,workers [7] cars,hiv [7] buy,cars [6] aids,hiv [6] kennedy,center [6] abroad,buy [6] years,each [6] each,year [5] pakistan,gender Top Word Pairs in Tweet in G10:
[110] having,unprotected [110] unprotected,sex [110] sex,infected [110] infected,partner [110] partner,season [110] season,transmit [110] transmit,hiv [110] hiv,aids [110] aids,hepatitis [108] hepatitis,gonorrhea Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: