The graph represents a network of 8,309 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, 11 July 2022 at 02:26 UTC.
The requested start date was Monday, 11 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, 3-hour, 43-minute period from Tuesday, 05 July 2022 at 08:22 UTC to Sunday, 10 July 2022 at 12:05 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 : 8309
Unique Edges : 6031
Edges With Duplicates : 11643
Total Edges : 17674
Number of Edge Types : 5
Retweet : 4995
MentionsInRetweet : 7223
Tweet : 1405
Mentions : 3126
Replies to : 925
Self-Loops : 1463
Reciprocated Vertex Pair Ratio : 0.0188357879971947
Reciprocated Edge Ratio : 0.0369751204641558
Connected Components : 1440
Single-Vertex Connected Components : 597
Maximum Vertices in a Connected Component : 2623
Maximum Edges in a Connected Component : 8528
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.509849
Graph Density : 0.000147310261514899
Modularity : 0.561523
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,309 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, 11 July 2022 at 02:26 UTC.
The requested start date was Monday, 11 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, 3-hour, 43-minute period from Tuesday, 05 July 2022 at 08:22 UTC to Sunday, 10 July 2022 at 12:05 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:
[3005] hiv,aids [664] bone,marrow [663] friendly,reminder [663] reminder,autopsies [663] autopsies,shown [663] shown,covid [663] covid,viral [663] viral,reservoirs [663] reservoirs,bone [663] marrow,covid Top Word Pairs in Tweet in G1:
[265] hiv,aids [133] drtedros,very [112] very,pleased [112] pleased,welcome [112] welcome,brother [112] brother,jnkengasong [112] jnkengasong,team [112] team,good [108] good,discussion [108] discussion,strong Top Word Pairs in Tweet in G2:
[643] friendly,reminder [643] reminder,autopsies [643] autopsies,shown [643] shown,covid [643] covid,viral [643] viral,reservoirs [643] reservoirs,bone [643] bone,marrow [643] marrow,covid [643] covid,reinfections Top Word Pairs in Tweet in G3:
[474] hiv,aids [57] î,î [53] aids,hiv [40] fighting,stigma [24] living,hiv [22] ãƒ,ム[16] people,living [16] covid,19 [15] cure,aids [14] #hiv,#aids Top Word Pairs in Tweet in G4:
[141] terry,higgins [132] die,aids [132] aids,related [116] named,person [114] higgins,first [113] first,named [113] person,die [111] see,keir_starmer [111] keir_starmer,pay [111] pay,tribute Top Word Pairs in Tweet in G5:
[246] hiv,aids [229] grew,period [229] period,heavy [229] heavy,hiv [229] aids,sensitisation [229] sensitisation,we've [229] we've,grown [229] grown,literally [229] literally,being [229] being,biggest Top Word Pairs in Tweet in G6:
[118] hiv,aids [90] aids,tb [88] tb,malaria [86] against,hiv [84] fight,against [80] progress,fight [78] justintrudeau,cafreeland [78] cafreeland,harjitsajjan [78] pandemic,set [78] set,back Top Word Pairs in Tweet in G7:
[112] bhan,gwalior [112] gwalior,mp [112] mp,alcoholic [112] alcoholic,very [112] very,depressed [112] depressed,infected [111] god,healed [111] healed,aids [111] aids,bhan [91] officialshiva29,god Top Word Pairs in Tweet in G8:
[31] hiv,aids [17] 10,years [16] full,blown [16] blown,aids [15] hiv,infection [13] infection,mild [12] jmcrookston,people [12] people,know [12] know,took [12] took,10 Top Word Pairs in Tweet in G9:
[56] children,adolescents [50] end,aids [50] aids,without [50] without,addressing [50] addressing,needs [50] needs,children [50] adolescents,ability [50] ability,start [50] start,free [50] free,stay Top Word Pairs in Tweet in G10:
[28] thesassymicrobe,zoeharcombe [24] swaledalemutton,thesassymicrobe [15] hiv,cause [14] cause,aids [13] hiv,aids [13] patriciajane456,zoeharcombe [10] thesassymicrobe,patriciajane456 [9] dhshades,swaledalemutton [9] zoeharcombe,takethatct [8] swaledalemutton,f_o_r_e_s_tboy 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 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:
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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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: