The graph represents a network of 6,172 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 Wednesday, 12 May 2021 at 03:57 UTC.
The requested start date was Monday, 10 May 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, 23-hour, 56-minute period from Monday, 26 April 2021 at 00:01 UTC to Sunday, 09 May 2021 at 23:57 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 : 6172
Unique Edges : 4131
Edges With Duplicates : 12059
Total Edges : 16190
Number of Edge Types : 5
Mentions : 2297
Retweet : 5279
MentionsInRetweet : 7107
Tweet : 1378
Replies to : 129
Self-Loops : 1478
Reciprocated Vertex Pair Ratio : 0.033112582781457
Reciprocated Edge Ratio : 0.0641025641025641
Connected Components : 879
Single-Vertex Connected Components : 419
Maximum Vertices in a Connected Component : 3811
Maximum Edges in a Connected Component : 12294
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.468203
Graph Density : 0.000212983754317568
Modularity : 0.465535
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 6,172 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 Wednesday, 12 May 2021 at 03:57 UTC.
The requested start date was Monday, 10 May 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, 23-hour, 56-minute period from Monday, 26 April 2021 at 00:01 UTC to Sunday, 09 May 2021 at 23:57 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:
[360] today,#worldmalariaday [346] against,#malaria [318] #malaria,vaccine [274] #worldmalariaday,#malaria [243] still,kills [241] kills,child [240] #malaria,still [238] child,minutes [227] children,die [225] minutes,children Top Word Pairs in Tweet in G1:
[207] against,#malaria [163] targetmalaria,meet [126] #drawtheline,against [68] #targetmalariauk,imperialcollege [52] #genedrive,approaches [49] fight,against [48] working,#targetmalariauk [47] crisanti,lab [43] 2020,spot [43] spot,checks Top Word Pairs in Tweet in G2:
[62] over,last [62] #paludismo,#malaria [55] today,#worldmalariaday [55] certified,#malaria [55] #malaria,free [51] #worldmalariaday,over [51] last,decades [51] decades,11 [51] 11,countries [51] countries,certified Top Word Pairs in Tweet in G3:
[31] #malaria,vaccine [30] #malaria,#vaccine [28] take,#malaria [28] #malaria,pill [22] malaria,vaccine [19] covid,19 [14] remember,take [14] pill,hope [14] forget,take [13] against,#malaria Top Word Pairs in Tweet in G4:
[210] today,#worldmalariaday [210] #worldmalariaday,#malaria [210] #malaria,still [210] still,kills [210] kills,child [210] child,minutes [210] minutes,children [210] children,die [209] achyuta_samanta,today Top Word Pairs in Tweet in G5:
[67] ending,#malaria [54] malaria,transmission [48] #malaria,vaccine [47] good,news [47] news,#malaria [47] vaccine,r21 [47] r21,shows [47] shows,promise [47] promise,area [47] area,malaria Top Word Pairs in Tweet in G6:
[22] #malaria,vaccine [17] #malaria,#vaccine [15] malaria,vaccine [13] against,#malaria [12] uniofoxford,#malaria [12] 75,efficacy [12] understanding,#malaria [11] vaccine,proved [11] 77,effective [10] clinical,trial Top Word Pairs in Tweet in G7:
[144] part,efforts [144] efforts,control [144] control,prevent [144] prevent,eliminate [144] eliminate,malaria [144] malaria,1000s [144] 1000s,bed [144] bed,nets [144] nets,distributed [144] distributed,mendefera Top Word Pairs in Tweet in G8:
[41] issue,online [30] #malaria,vaccine [24] never,better [24] better,time [24] time,immunologist [24] immunologist,during [24] during,#worldimmunizationweek [24] #worldimmunizationweek,don [24] don,miss [24] miss,thelancet Top Word Pairs in Tweet in G9:
[41] #tb,#malaria [39] #hiv,#tb [30] #covid19,pandemic [29] pandemic,pushing [29] pushing,response [29] response,against [29] against,#hiv [29] #malaria,further [29] further,track [29] track,threatening Top Word Pairs in Tweet in G10:
[29] read,findings [29] findings,kap [29] kap,assessment [29] assessment,done [29] done,rbc [29] rbc,collaboration [29] collaboration,health [29] health,concept [29] concept,innovative [29] innovative,solutions Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
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: