The graph represents a network of 8,062 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, 05 September 2022 at 02:26 UTC.
The requested start date was Monday, 05 September 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 3-day, 23-hour, 7-minute period from Wednesday, 31 August 2022 at 13:00 UTC to Sunday, 04 September 2022 at 12:08 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 : 8062
Unique Edges : 4408
Edges With Duplicates : 11147
Total Edges : 15555
Number of Edge Types : 5
Retweet : 4842
MentionsInRetweet : 5797
Tweet : 1782
Replies to : 810
Mentions : 2324
Self-Loops : 1846
Reciprocated Vertex Pair Ratio : 0.0127826941986234
Reciprocated Edge Ratio : 0.0252427184466019
Connected Components : 1535
Single-Vertex Connected Components : 720
Maximum Vertices in a Connected Component : 2718
Maximum Edges in a Connected Component : 6807
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.234108
Graph Density : 0.000126793063963931
Modularity : 0.548092
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,062 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, 05 September 2022 at 02:26 UTC.
The requested start date was Monday, 05 September 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 3-day, 23-hour, 7-minute period from Wednesday, 31 August 2022 at 13:00 UTC to Sunday, 04 September 2022 at 12:08 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:
[4224] hiv,aids [515] free,education [514] hail,people's [514] people's,president [514] president,truth [514] truth,introduced [514] introduced,free [514] education,tertiary [514] tertiary,built [513] jgz_foundation,hail Top Word Pairs in Tweet in G1:
[742] hiv,aids [116] #kapitalismebiangmasalah,#pendidikanmuliadenganislam [112] kasus,hiv [102] live,muslimah [102] muslimah,bicara [85] potret,generasi [64] jawa,barat [46] angka,kasus [44] bicara,#kapitalismebiangmasalah [43] fighting,stigma Top Word Pairs in Tweet in G2:
[189] hiv,aids [109] adolescent,girl [109] girl,young [109] young,woman [109] two,minutes [104] #hiv,#aids [72] minutes,adolescent [72] woman,becomes [72] becomes,infected [72] infected,hiv Top Word Pairs in Tweet in G3:
[514] free,education [513] hail,people's [513] people's,president [513] president,truth [513] truth,introduced [513] introduced,free [513] education,tertiary [513] tertiary,built [512] jgz_foundation,hail [512] built,univers Top Word Pairs in Tweet in G4:
[565] hiv,aids [353] solusi,poligami [238] untuk,menghindari [238] menghindari,hiv [237] aids,solusinya [237] solusinya,poligami [236] avilaspirit1,untuk [234] poligami,banyak [117] banyak,orang [117] orang,bermaksiat Top Word Pairs in Tweet in G5:
[254] hiv,aids [234] 600,tysięcy [234] tysięcy,ukraińców [234] ukraińców,jest [234] jest,nosicielami [234] nosicielami,hiv [234] aids,są [234] są,zwolnieni [234] zwolnieni,ze [234] ze,służby Top Word Pairs in Tweet in G6:
[78] princess,diana [76] 25,years [51] years,ago [51] ago,today [50] hiv,aids [50] today,princess [50] diana,killed [50] killed,car [50] car,crash [50] crash,icon Top Word Pairs in Tweet in G7:
[207] 25,years [207] years,ago [207] ago,today [206] diana,spencer [206] spencer,killed [206] killed,25 [206] today,age [206] age,36 [206] 36,brought [206] brought,global Top Word Pairs in Tweet in G8:
[168] hiv,aids [166] living,hiv [165] having,hiv [165] hiv,end [165] end,world [165] world,people [165] people,living [165] aids,live [165] live,normal [165] normal,lives Top Word Pairs in Tweet in G9:
[179] hiv,aids [156] solusi,untuk [154] bukan,solusi [154] tapi,dengan [153] poligami,dan [153] dan,nikah [153] nikah,muda [153] muda,bukan [153] untuk,mencegah [153] mencegah,hiv Top Word Pairs in Tweet in G10:
[137] hiv,aids [135] harjitsajjan,covid [135] covid,pandemic [135] pandemic,set [135] set,back [135] back,years [135] years,progress [135] progress,fight [135] fight,against [135] against,hiv Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 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: