The graph represents a network of 6,854 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, 10 June 2022 at 14:16 UTC.
The requested start date was Friday, 10 June 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, 16-hour, 9-minute period from Tuesday, 07 June 2022 at 07:51 UTC to Friday, 10 June 2022 at 00:00 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 : 6854
Unique Edges : 3704
Edges With Duplicates : 11890
Total Edges : 15594
Number of Edge Types : 5
Retweet : 5609
MentionsInRetweet : 6141
Mentions : 1948
Replies to : 832
Tweet : 1064
Self-Loops : 1095
Reciprocated Vertex Pair Ratio : 0.0149844162071446
Reciprocated Edge Ratio : 0.0295263965985591
Connected Components : 1344
Single-Vertex Connected Components : 527
Maximum Vertices in a Connected Component : 1935
Maximum Edges in a Connected Component : 8493
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.014937
Graph Density : 0.000180262225225717
Modularity : 0.529053
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,854 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, 10 June 2022 at 14:16 UTC.
The requested start date was Friday, 10 June 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, 16-hour, 9-minute period from Tuesday, 07 June 2022 at 07:51 UTC to Friday, 10 June 2022 at 00:00 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:
[2515] #tigrayan,woman [2515] woman,brutally [2515] brutally,gang [2515] gang,raped [2515] troops,medical [2515] medical,help [2515] help,immediately [2473] raped,eritrean [2473] eritrean,troops [1586] immediately,attempt Top Word Pairs in Tweet in G1:
[61] deadly,disease [53] #malaria,#ntds [50] world,leaders [50] zero,malaria [49] re,beat [47] malariayouthke,re [43] fight,against [41] tb,malaria [41] kila,weno [37] ending,#malaria Top Word Pairs in Tweet in G2:
[2502] #tigrayan,woman [2502] woman,brutally [2502] brutally,gang [2502] gang,raped [2502] troops,medical [2502] medical,help [2502] help,immediately [2460] raped,eritrean [2460] eritrean,troops [1578] immediately,attempt Top Word Pairs in Tweet in G3:
[39] vacuna,malaria [29] ment,malaria [17] pa,vacuna [14] treat,malaria [12] malaria,dengue [10] malaria,typhoid [10] molecole,bloccano [10] bloccano,trasmissione [9] against,malaria [9] monkeypox,upgraded Top Word Pairs in Tweet in G4:
[472] apple,red [467] hyunjin,red [467] red,iphone [467] iphone,13 [467] 13,mini [467] mini,idk [467] idk,bought [467] bought,purpose [467] purpose,buy [467] buy,apple Top Word Pairs in Tweet in G5:
[279] know,first [279] first,worth [279] worth,repeating [279] repeating,99 [279] 99,scientists [279] scientists,agreed [279] agreed,dirt [279] dirt,caused [279] caused,malaria [279] malaria,1900 Top Word Pairs in Tweet in G6:
[163] monkeypox,upgraded [163] upgraded,same [163] same,severity [163] severity,level [163] level,leprosy [163] leprosy,plague [137] plague,fun [137] fun,started [137] started,again [136] stopnwo666,monkeypox Top Word Pairs in Tweet in G7:
[11] monkeypox,upgraded [11] upgraded,same [11] same,severity [11] severity,level [11] level,leprosy [11] leprosy,plague [10] gerarddelaney39,monkeypox [3] unjailme80,createperhaps [3] createperhaps,happyclown_7_ [3] happyclown_7_,takethatct Top Word Pairs in Tweet in G8:
[13] sufficiently,appreciated [13] appreciated,innovative [13] innovative,malaria [13] malaria,eradication [13] eradication,methods [13] methods,employed [13] employed,zionists [13] zionists,paved [13] paved,way [13] way,israel Top Word Pairs in Tweet in G9:
[33] fight,against [29] know,malaria [29] malaria,100 [29] 100,preventable [29] preventable,curable [29] curable,join [29] join,fight [29] against,bite [29] bite,easy [29] easy,measures Top Word Pairs in Tweet in G10:
[94] lefty,activists [94] activists,trying [94] trying,stop [94] stop,rwanda [94] rwanda,flights [94] flights,demanding [94] demanding,judicial [94] judicial,review [94] review,policy [94] policy,union Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: