The graph represents a network of 8,434 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, 04 July 2022 at 02:23 UTC.
The requested start date was Monday, 04 July 2022 at 00:01 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 5-day, 1-hour, 0-minute period from Tuesday, 28 June 2022 at 11:08 UTC to Sunday, 03 July 2022 at 12:09 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 : 8434
Unique Edges : 6934
Edges With Duplicates : 10554
Total Edges : 17488
Number of Edge Types : 5
Replies to : 1146
Mentions : 3051
Retweet : 4545
MentionsInRetweet : 7182
Tweet : 1564
Self-Loops : 1654
Reciprocated Vertex Pair Ratio : 0.0132150091636925
Reciprocated Edge Ratio : 0.0260853008377761
Connected Components : 1582
Single-Vertex Connected Components : 610
Maximum Vertices in a Connected Component : 3453
Maximum Edges in a Connected Component : 10092
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.475578
Graph Density : 0.000147685893924691
Modularity : 0.59431
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,434 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, 04 July 2022 at 02:23 UTC.
The requested start date was Monday, 04 July 2022 at 00:01 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 5-day, 1-hour, 0-minute period from Tuesday, 28 June 2022 at 11:08 UTC to Sunday, 03 July 2022 at 12:09 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:
[3328] hiv,aids [377] aids,hiv [334] birthday,run [325] causes,lymphocytopenia [322] sars,cov2 [321] dumpstercommie,antonio_caramia [321] antonio_caramia,fitterhappieraj [317] amymitchellart,dumpstercommie [316] temporarily,causes [316] fitterhappieraj,sars Top Word Pairs in Tweet in G1:
[223] hiv,aids [131] #hiv,#aids [94] aids,related [78] 40,years [69] die,aids [59] one,first [53] terry,higgins [52] first,people [51] became,one [48] higgins,became Top Word Pairs in Tweet in G2:
[523] hiv,aids [59] aids,hiv [19] offer,online [18] online,class [18] class,homework [18] homework,assignment [18] assignment,exam [18] exam,expert [18] expert,help [17] living,hiv Top Word Pairs in Tweet in G3:
[320] dumpstercommie,antonio_caramia [320] antonio_caramia,fitterhappieraj [319] sars,cov2 [316] amymitchellart,dumpstercommie [315] fitterhappieraj,sars [315] causes,lymphocytopenia [313] cov2,covid [313] covid,temporarily [313] temporarily,causes [312] lymphocytopenia,includin Top Word Pairs in Tweet in G4:
[233] hiv,aids [137] birthday,run [119] kabaka,birthday [99] run,2022 [77] 2022,year's [77] year's,run [76] run,aims [76] aims,create [69] against,hiv [62] awareness,hiv Top Word Pairs in Tweet in G5:
[210] hiv,aids [153] birthday,run [149] run,2022 [143] end,hiv [141] sunday,go [141] go,again [141] again,noble [141] noble,cause [141] cause,worth [141] worth,being Top Word Pairs in Tweet in G6:
[76] hiv,aids [54] causes,persistent [54] persistent,infection [40] cd8,cells [32] cd4,cells [30] sars,cov [27] aids,causes [27] infection,cd4 [27] cells,sars [27] cov,causes Top Word Pairs in Tweet in G7:
[161] 40,years [161] years,ago [161] ago,terry [161] terry,higgins [161] higgins,became [161] became,one [161] one,first [161] first,people [161] people,die [161] die,aids Top Word Pairs in Tweet in G8:
[162] justintrudeau,cafreeland [162] cafreeland,harjitsajjan [162] harjitsajjan,covid [162] covid,pandemic [162] pandemic,set [162] set,back [162] back,years [162] years,progress [162] progress,fight [162] fight,against Top Word Pairs in Tweet in G9:
[176] sant,rampal [176] rampal,ji [176] ji,maharaj [173] devotees,sant [173] maharaj,getting [173] getting,rid [173] rid,sorts [173] sorts,diseases [148] #உண,ம [148] ம,ய Top Word Pairs in Tweet in G10:
[87] princess,diana's [82] today,july [82] july,1st [82] 1st,anniversary [82] anniversary,princess [82] diana's,birthday [82] birthday,remember [82] remember,profound [82] profound,impact [82] impact,made Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: