The graph represents a network of 8,054 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 Tuesday, 13 April 2021 at 01:20 UTC.
The requested start date was Monday, 12 April 2021 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 3-day, 15-hour, 12-minute period from Thursday, 08 April 2021 at 08:40 UTC to Sunday, 11 April 2021 at 23:53 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 : 8054
Unique Edges : 3573
Edges With Duplicates : 11896
Total Edges : 15469
Number of Edge Types : 5
Retweet : 5444
MentionsInRetweet : 6276
Replies to : 716
Mentions : 1714
Tweet : 1319
Self-Loops : 1370
Reciprocated Vertex Pair Ratio : 0.0150889863296363
Reciprocated Edge Ratio : 0.029729386354974
Connected Components : 1459
Single-Vertex Connected Components : 603
Maximum Vertices in a Connected Component : 3130
Maximum Edges in a Connected Component : 7356
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.715681
Graph Density : 0.00012135581410602
Modularity : 0.522991
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,054 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 Tuesday, 13 April 2021 at 01:20 UTC.
The requested start date was Monday, 12 April 2021 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 3-day, 15-hour, 12-minute period from Thursday, 08 April 2021 at 08:40 UTC to Sunday, 11 April 2021 at 23:53 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:
[4297] hiv,aids [980] death,sentence [972] honestly,hiv [972] aids,went [972] went,death [972] sentence,manageable [972] manageable,disease [972] disease,lifetime [972] lifetime,amazing [972] amazing,enough Top Word Pairs in Tweet in G1:
[976] hiv,aids [963] honestly,hiv [963] aids,went [963] went,death [963] death,sentence [963] sentence,manageable [963] manageable,disease [963] disease,lifetime [963] lifetime,amazing [963] amazing,enough Top Word Pairs in Tweet in G2:
[544] hiv,aids [121] awareness,day [119] national,youth [119] youth,hiv [119] aids,awareness [95] young,people [56] #hiv,#aids [39] impact,hiv [36] april,10 [34] day,day Top Word Pairs in Tweet in G3:
[521] cause,aids [471] hiv,cause [465] sizwelo,thabo [463] thabo,mbeki [461] mbeki,believed [461] believed,hiv [461] aids,refused [461] refused,nationwide [461] nationwide,rollout [461] rollout,antiretroviral Top Word Pairs in Tweet in G4:
[438] young,people [383] shocked,learn [383] learn,600 [383] 600,cases [383] cases,hiv [383] hiv,young [383] people,single [383] single,day [383] day,please [383] please,join Top Word Pairs in Tweet in G5:
[312] hiv,aids [273] national,youth [268] youth,hiv [265] awareness,day [264] aids,awareness [164] young,people [95] today,national [85] day,#nyhaad [43] april,10 [41] importance,investing Top Word Pairs in Tweet in G6:
[97] low,middle [97] middle,income [80] hiv,response [75] 29,billion [75] income,countries [74] investing,29 [74] billion,year [74] year,hiv [74] response,low [62] hiv,aids Top Word Pairs in Tweet in G7:
[223] one,30 [223] 30,day [223] day,bottle [223] bottle,biktarvy [223] biktarvy,hiv [223] hiv,positive [223] positive,person [223] person,insurance [223] insurance,access [223] access,programs Top Word Pairs in Tweet in G8:
[209] thing,many [209] many,didn [209] didn,acknowledge [209] acknowledge,pandemic [209] pandemic,very [209] very,much [209] much,aids [209] aids,epidemic [209] epidemic,people [209] people,dev Top Word Pairs in Tweet in G9:
[332] hiv,aids [138] buganda,kingdom [113] fight,against [93] officials,buganda [90] against,hiv [68] aids,uganda [64] strengthen,disease [64] disease,prevention [56] progress,making [56] making,country Top Word Pairs in Tweet in G10:
[140] hiv,aids [109] late,90s [109] 90s,early [109] early,2000s [109] 2000s,12 [109] 12,million [109] million,people [109] people,africa [109] africa,left [109] left,die Top Replied-To in Entire Graph:
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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: