The graph represents a network of 8,600 Twitter users whose tweets in the requested range contained "Malaria", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 26 August 2022 at 14:16 UTC.
The requested start date was Friday, 26 August 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 2-day, 18-hour, 44-minute period from Tuesday, 23 August 2022 at 05:15 UTC to Thursday, 25 August 2022 at 23:59 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 : 8600
Unique Edges : 5751
Edges With Duplicates : 11126
Total Edges : 16877
Number of Edge Types : 5
Retweet : 5037
MentionsInRetweet : 6917
Tweet : 1268
Mentions : 2490
Replies to : 1165
Self-Loops : 1315
Reciprocated Vertex Pair Ratio : 0.0114202657807309
Reciprocated Edge Ratio : 0.0225826319031
Connected Components : 1510
Single-Vertex Connected Components : 579
Maximum Vertices in a Connected Component : 2140
Maximum Edges in a Connected Component : 6448
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.714649
Graph Density : 0.000131735166609422
Modularity : 0.579202
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,600 Twitter users whose tweets in the requested range contained "Malaria", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 26 August 2022 at 14:16 UTC.
The requested start date was Friday, 26 August 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 2-day, 18-hour, 44-minute period from Tuesday, 23 August 2022 at 05:15 UTC to Thursday, 25 August 2022 at 23:59 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 : Malaria
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:
[591] anti,malaria [455] malaria,fever [448] serious,malaria [447] put,down [446] good,evening [446] evening,obidient [446] obidient,back [446] back,full [446] full,energy [446] energy,serious Top Word Pairs in Tweet in G1:
[45] malaria,drug [43] anti,malaria [36] malaria,mukt [32] mehmet,oz [30] white,house [29] malaria,vaccine [29] oz,pushed [29] drug,covid [29] use,anti [29] jared,kushner Top Word Pairs in Tweet in G2:
[369] malaria,sex [362] tolu_duroo,malaria [356] sex,entire [356] entire,different [356] different,level [87] ment,malaria [82] raw,trying [82] trying,avoid [82] avoid,unwanted [82] unwanted,pregnance Top Word Pairs in Tweet in G3:
[189] #ashendatigray,gang [189] gang,raped [189] raped,pro [189] pro,abiy [189] abiy,ahmed [189] ahmed,forces [189] forces,took [189] took,entire [189] entire,pack [189] pack,anti Top Word Pairs in Tweet in G4:
[413] put,down [412] good,evening [412] evening,obidient [412] obidient,back [412] back,full [412] full,energy [412] energy,serious [412] serious,malaria [412] malaria,fever [412] fever,put Top Word Pairs in Tweet in G5:
[361] davidhundeyin,fs_yusuf_ [358] malaria,madness [356] fs_yusuf_,imagine [356] imagine,telling [356] telling,survivor [356] survivor,years [356] years,buhari [356] buhari,calm [356] calm,down [356] down,malaria Top Word Pairs in Tweet in G6:
[67] malaria,youth [61] #tb,#malaria [52] lives,hiv [51] kenya,malaria [47] global,fund [40] 20,million [39] #hiv,#tb [38] save,20 [38] million,lives [35] end,malaria Top Word Pairs in Tweet in G7:
[284] anti,malaria [270] malaria,drug [268] white,house [265] staffers,trump [265] trump,white [265] house,tried [265] tried,pressure [265] pressure,us_fda [265] us_fda,reauthorizing [265] reauthorizing,anti Top Word Pairs in Tweet in G8:
[126] burden,malaria [125] last,two [125] two,decades [125] decades,made [125] made,lot [125] lot,progress [125] progress,reducing [125] reducing,burden [125] malaria,learn [125] learn,four Top Word Pairs in Tweet in G9:
[135] diseases,prevent [135] prevent,taking [135] taking,vaccines [135] vaccines,cervical [135] cervical,cancer [135] cancer,hpv [135] hpv,hepatitis [135] hepatitis,hepatitis [135] hepatitis,polio [135] polio,rabies Top Word Pairs in Tweet in G10:
[87] nathaliejacoby1,malaria [10] jackie,o's [10] rose,garden [9] myweiredworld,nathaliejacoby1 [9] o's,impeccable [9] impeccable,gorgeous [9] gorgeous,rose [8] nathaliejacoby1,hate [8] hate,malaria [8] malaria,doing 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 G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: