The graph represents a network of 8,748 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, 21 February 2022 at 03:00 UTC.
The requested start date was Monday, 21 February 2022 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 2-day, 15-hour, 46-minute period from Thursday, 17 February 2022 at 20:17 UTC to Sunday, 20 February 2022 at 12:04 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 : 8748
Unique Edges : 4199
Edges With Duplicates : 11914
Total Edges : 16113
Number of Edge Types : 5
Retweet : 5547
MentionsInRetweet : 6642
Replies to : 896
Mentions : 1695
Tweet : 1333
Self-Loops : 1396
Reciprocated Vertex Pair Ratio : 0.00835431448844129
Reciprocated Edge Ratio : 0.0165701963454772
Connected Components : 1526
Single-Vertex Connected Components : 578
Maximum Vertices in a Connected Component : 2291
Maximum Edges in a Connected Component : 4674
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 2.731259
Graph Density : 0.000115148238949415
Modularity : 0.54983
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,748 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, 21 February 2022 at 03:00 UTC.
The requested start date was Monday, 21 February 2022 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 2-day, 15-hour, 46-minute period from Thursday, 17 February 2022 at 20:17 UTC to Sunday, 20 February 2022 at 12:04 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:
[2232] ได,ท [2232] ท,เร [2232] เร,ยนใหม [2232] ยนใหม,แล [2232] แล,ว [2232] ว,ค [2232] ค,อท [2232] อท,กรมขนส [2232] กรมขนส,งหมอช [2232] งหมอช,ตเองเลย Top Word Pairs in Tweet in G1:
[2226] ได,ท [2226] ท,เร [2226] เร,ยนใหม [2226] ยนใหม,แล [2226] แล,ว [2226] ว,ค [2226] ค,อท [2226] อท,กรมขนส [2226] กรมขนส,งหมอช [2226] งหมอช,ตเองเลย Top Word Pairs in Tweet in G2:
[363] hiv,aids [59] covid,19 [45] fact,checkers [44] aids,hiv [41] link,between [40] 19,vaccines [38] between,hiv [38] aids,covid [33] #hiv,#aids [30] vaccines,fact Top Word Pairs in Tweet in G3:
[291] masi_nonxuba,jude_17 [290] chriisejike,masi_nonxuba [13] hiv,aids [11] sassy_ondbeat,masi_nonxuba [11] masi_nonxuba,alesefemi [6] hiv,virus [6] riterdee,sassy_ondbeat [4] virus,causes [3] masi_nonxuba,creators [3] creators,hiv Top Word Pairs in Tweet in G4:
[184] excl,women [184] women,britain [184] britain,developing [184] developing,used [184] used,called [184] called,aids [184] aids,late [184] late,stage [184] stage,hiv [184] hiv,aren Top Word Pairs in Tweet in G5:
[67] hiv,aids [52] aids,hiv [50] immune,system [48] hiv,intentional [48] intentional,destruction [48] destruction,human [48] human,immune [48] system,called [48] called,vaids [48] vaids,vaccine Top Word Pairs in Tweet in G6:
[10] kath2cats,jtmayes3 [10] jimeeliberty,kayvonpaul [9] jtmayes3,idunsdaughter [9] idunsdaughter,jimeeliberty [9] kayvonpaul,mhunt081266 [9] mhunt081266,sammy44231 [8] specialk69k,kath2cats [8] sammy44231,doritmi [8] doritmi,iamiron62 [8] iamiron62,matthewnewell67 Top Word Pairs in Tweet in G7:
[78] hiv,aids [29] testing,hiv [26] aids,normal [26] normal,vaccination [26] vaccination,next [26] next,big [26] big,pandemic [26] pandemic,going [26] going,aids [23] zaidzamanhamid,testing Top Word Pairs in Tweet in G8:
[66] オランダで19年ぶりに登場したhivの新種がこれまで以上に強毒性であることから,aids研究第一人者はコロナウイルスがオミクロンの感染力と初期sarsの致死性を併せ持つようになることを警告 [66] aids研究第一人者はコロナウイルスがオミクロンの感染力と初期sarsの致死性を併せ持つようになることを警告,discovery [66] discovery,hiv [65] angama_market,オランダで19年ぶりに登場したhivの新種がこれまで以上に強毒性であることから [21] 感染細胞を丸ごとマクロファージが貪食した時の状況ですが,通常は細胞ごと酵素処理されてバラバラになってしまいます [21] 通常は細胞ごと酵素処理されてバラバラになってしまいます,マクロファージはウイルスを直接貪食できますが [21] マクロファージはウイルスを直接貪食できますが,マクロファージで増殖可能なウイルスを取り込むと面倒なことになります [21] マクロファージで増殖可能なウイルスを取り込むと面倒なことになります,hiv [20] molbio08,感染細胞を丸ごとマクロファージが貪食した時の状況ですが [20] hiv,つまりaidsウ Top Word Pairs in Tweet in G9:
[85] #onthisday,february [85] february,17 [85] 17,1990 [85] 1990,#goldengirls [85] #goldengirls,aired [85] aired,s5e19 [85] s5e19,72 [85] 72,hours [85] hours,rose [85] rose,receives Top Word Pairs in Tweet in G10:
[82] heal,quick [82] quick,fast [82] fast,water [82] water,herbal [82] herbal,teas [82] teas,small [82] small,amount [82] amount,organic [82] organic,fruits [82] fruits,juiced Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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: