The graph represents a network of 2,325 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 Monday, 14 June 2021 at 03:47 UTC.
The requested start date was Monday, 14 June 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 13-day, 8-hour, 27-minute period from Monday, 31 May 2021 at 00:47 UTC to Sunday, 13 June 2021 at 09:15 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 : 2325
Unique Edges : 1783
Edges With Duplicates : 4002
Total Edges : 5785
Number of Edge Types : 5
Retweet : 1693
MentionsInRetweet : 2429
Tweet : 539
Mentions : 1064
Replies to : 60
Self-Loops : 566
Reciprocated Vertex Pair Ratio : 0.0383597883597884
Reciprocated Edge Ratio : 0.0738853503184713
Connected Components : 349
Single-Vertex Connected Components : 161
Maximum Vertices in a Connected Component : 1273
Maximum Edges in a Connected Component : 4010
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.136122
Graph Density : 0.000581126348712824
Modularity : 0.501952
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,325 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 Monday, 14 June 2021 at 03:47 UTC.
The requested start date was Monday, 14 June 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 13-day, 8-hour, 27-minute period from Monday, 31 May 2021 at 00:47 UTC to Sunday, 13 June 2021 at 09:15 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:
[509] àª,ઠ[169] não,estamos [169] estamos,morrer [169] morrer,#covid19 [169] #covid19,mas [169] mas,sim [169] sim,#malária [169] #malária,situação [169] situação,grave [169] grave,mesmo Top Word Pairs in Tweet in G1:
[39] #tb,#malaria [34] virtual,event [34] community,health [33] health,systems [30] #malariawinwin,event [26] work,#malaria [26] endemic,countries [25] years,ago [23] health,workers [23] against,#malaria Top Word Pairs in Tweet in G2:
[31] work,#malaria [26] looking,#job [26] #malaria,scientists [25] first,day [25] day,#gem2021 [24] approaches,improve [23] mesamalaria,work [23] globalvectorhub,looking [23] #gem2021,science [23] science,illustrator Top Word Pairs in Tweet in G3:
[167] não,estamos [167] estamos,morrer [167] morrer,#covid19 [167] #covid19,mas [167] mas,sim [167] sim,#malária [167] #malária,situação [167] situação,grave [167] grave,mesmo [166] lastprince16,não Top Word Pairs in Tweet in G4:
[27] take,#malaria [27] #malaria,pill [17] àª,ઠ[17] lucha,contra [17] casos,#malaria [16] pionero,lucha [16] contra,#malaria [16] #malaria,#epicentro [16] #epicentro,#contagio [16] #contagio,2000 Top Word Pairs in Tweet in G5:
[17] natural,immunity [11] insight,one [11] one,mysteries [11] mysteries,natural [11] immunity,#malaria [10] against,#malaria [9] 18,june [9] study,offers [9] offers,insight [8] #malaria,study Top Word Pairs in Tweet in G6:
[79] vaccine,against [79] against,#malaria [79] #malaria,developed [79] developed,team [79] team,uniofoxford [79] uniofoxford,jenner [79] jenner,institute [79] institute,oxford [79] oxford,az [79] az,covid Top Word Pairs in Tweet in G7:
[10] public,health [9] health,england [9] england,updated [9] updated,#malaria [9] #malaria,prevention [9] prevention,guidelines [9] guidelines,fro [9] fro,2021 [8] nathnac,public [6] trofozoits,forma Top Word Pairs in Tweet in G8:
[492] àª,ઠ[26] àª,વઠ[26] વàª,ઠ[26] àª,જà [26] જà,ઠ[13] #malaria,ઠ[13] àª,પà [13] પà,ઠ[13] àª,પઠ[13] પàª,ઠTop Word Pairs in Tweet in G9:
[7] early,career [7] career,researchers [7] researchers,sa [7] sa,uk [7] uk,apply [7] apply,climate [7] climate,change [7] change,malaria [7] malaria,action [7] action,c2ma Top Word Pairs in Tweet in G10:
[26] state,hospital [25] aweil,state [17] rainy,season [16] year,expand [16] expand,pediatric [16] pediatric,ward [16] ward,aweil [16] hospital,temporary [16] temporary,tents [15] tents,accommodate Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 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: