The graph represents a network of 9,772 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, 17 September 2021 at 15:24 UTC.
The requested start date was Friday, 17 September 2021 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, 22-minute period from Tuesday, 14 September 2021 at 07:38 UTC to Friday, 17 September 2021 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 : 9772
Unique Edges : 6526
Edges With Duplicates : 9665
Total Edges : 16191
Number of Edge Types : 5
Retweet : 4287
MentionsInRetweet : 5855
Replies to : 1571
Mentions : 2913
Tweet : 1565
Self-Loops : 1631
Reciprocated Vertex Pair Ratio : 0.0205851619644723
Reciprocated Edge Ratio : 0.0403399201392444
Connected Components : 2217
Single-Vertex Connected Components : 795
Maximum Vertices in a Connected Component : 1183
Maximum Edges in a Connected Component : 3070
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.927136
Graph Density : 0.000102291304269323
Modularity : 0.622322
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,772 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, 17 September 2021 at 15:24 UTC.
The requested start date was Friday, 17 September 2021 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, 22-minute period from Tuesday, 14 September 2021 at 07:38 UTC to Friday, 17 September 2021 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:
[374] dengue,malaria [274] contra,malaria [237] malaria,cases [221] países,africanos [220] africanos,toman [220] toman,invermectina [220] invermectina,forma [220] forma,profiláctica [220] profiláctica,contra [220] malaria,sencillamente Top Word Pairs in Tweet in G1:
[27] covid,19 [24] fight,against [24] tb,malaria [22] dengue,malaria [20] ड,ग [19] hiv,tb [17] against,hiv [15] treated,malaria [15] malaria,drugs [14] र,य Top Word Pairs in Tweet in G2:
[72] tb,malaria [61] hiv,tb [53] time,bold [49] covid,19 [42] problem,solved [42] solved,time [41] fight,against [41] malaria,problem [36] against,hiv [35] goalkeepers,report Top Word Pairs in Tweet in G3:
[218] contra,malaria [217] países,africanos [217] africanos,toman [217] toman,invermectina [217] invermectina,forma [217] forma,profiláctica [217] profiláctica,contra [217] malaria,sencillamente [217] sencillamente,tenido [217] tenido,covid Top Word Pairs in Tweet in G4:
[196] dengue,malaria [191] priyankac19,dengue [190] malaria,cases [189] cases,rising [189] rising,sharply [189] sharply,maharashtra [189] maharashtra,shed [189] shed,light [189] light,govt [188] rishibagree,priyankac19 Top Word Pairs in Tweet in G5:
[32] dengue,malaria [13] health,official [13] official,go [13] go,way [13] way,bring [13] bring,malaria [13] malaria,patients [13] patients,hospital [11] #tripura,health [11] hospital,cstripura Top Word Pairs in Tweet in G6:
[97] treated,malaria [81] a__vanita,aa [80] aa,people [78] many,times [77] people,many [77] times,treated [77] malaria,yeah [14] treat,malaria [13] amu,malaria [12] fall,sick Top Word Pairs in Tweet in G7:
[22] dengue,malaria [20] breeding,ground [17] ground,mosquitoes [16] malaria,dengue [14] ticking,time [14] time,bomb [14] bomb,skyvistas [14] skyvistas,patch [13] dn,nagar [13] #skyvistas,ticking Top Word Pairs in Tweet in G8:
[143] paesi,africani [143] combattere,malaria [142] nei,31 [142] 31,paesi [142] africani,fanno [142] fanno,regolare [142] regolare,uso [142] uso,#ivermectina [142] #ivermectina,combattere [142] malaria,stata Top Word Pairs in Tweet in G9:
[100] flwrsxb,wolveriffverine [100] wolveriffverine,right [100] right,tak [100] tak,covid [100] covid,lepto [100] lepto,tak [100] tak,lepto [100] lepto,malaria [99] irhamzin1,flwrsxb [17] havzichiori,azmanrocks Top Word Pairs in Tweet in G10:
[5] co_aaronlobo17,for_americans [5] for_americans,simonjaffehotm1 [5] simonjaffehotm1,yesbellerose [5] yesbellerose,whywouldyou_uk [4] longlivezion2,co_aaronlobo17 [3] whywouldyou_uk,retiredjudean [3] retiredjudean,masonq33 [3] faithquintero7,18pigsdontfly [3] 18pigsdontfly,pollakdan [3] pollakdan,antisemitismno 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: