The graph represents a network of 6,182 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, 11 October 2021 at 03:52 UTC.
The requested start date was Monday, 11 October 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 12-day, 10-hour, 4-minute period from Monday, 27 September 2021 at 02:06 UTC to Saturday, 09 October 2021 at 12:11 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 : 6182
Unique Edges : 3770
Edges With Duplicates : 10845
Total Edges : 14615
Number of Edge Types : 5
Tweet : 1137
Retweet : 4919
MentionsInRetweet : 6788
Mentions : 1671
Replies to : 100
Self-Loops : 1200
Reciprocated Vertex Pair Ratio : 0.0176609105180534
Reciprocated Edge Ratio : 0.0347088314693405
Connected Components : 879
Single-Vertex Connected Components : 481
Maximum Vertices in a Connected Component : 3900
Maximum Edges in a Connected Component : 10882
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.914616
Graph Density : 0.000203580429919786
Modularity : 0.490538
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,182 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, 11 October 2021 at 03:52 UTC.
The requested start date was Monday, 11 October 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 12-day, 10-hour, 4-minute period from Monday, 27 September 2021 at 02:06 UTC to Saturday, 09 October 2021 at 12:11 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:
[597] #malaria,vaccine [473] contra,#malaria [416] dies,#malaria [405] vacuna,contra [403] two,minutes [387] child,dies [374] groundbreaking,malaria [369] malaria,vaccine [364] #malaria,two [364] today,recommends Top Word Pairs in Tweet in G1:
[360] dies,#malaria [358] child,dies [346] two,minutes [344] groundbreaking,malaria [339] recommends,rts [338] one,death [337] #malaria,two [337] minutes,one [337] death,one [337] one,many Top Word Pairs in Tweet in G2:
[128] àª,ઠ[54] #malaria,#vaccine [38] malaria,vaccine [31] #malaria,#malariavaccine [24] #malaria,vaccine [24] #dengue,#malaria [23] first,#malaria [23] vacuna,contra [22] take,#malaria [22] #malaria,pill Top Word Pairs in Tweet in G3:
[68] fight,against [55] #malaria,vaccine [52] support,globalfund [50] against,#malaria [49] fuelled,#ukaid [49] #ukaid,globalfund [47] showing,support [42] hiv,tb [41] stopaids,thanks [39] tb,malaria Top Word Pairs in Tweet in G4:
[274] #malaria,#covid19 [260] #malariavaccine,#africa [260] #covid19,#vaccini [260] oggi,repubblica [259] #africa,#malaria [259] pronti,quando [259] quando,volete [259] volete,oggi [258] maurobiani,#malariavaccine [251] #vaccini,pronti Top Word Pairs in Tweet in G5:
[170] started,career [170] career,#malaria [170] #malaria,researcher [169] researcher,longed [169] longed,day [166] day,effective [166] effective,vaccine [166] vaccine,against [164] drtedros,started [73] #malaria,vaccine Top Word Pairs in Tweet in G6:
[129] started,career [129] career,#malaria [129] #malaria,researcher [129] researcher,longed [129] longed,day [129] day,effective [129] effective,vaccine [129] vaccine,against [124] emmanuel_tag,started [58] proud,teddy Top Word Pairs in Tweet in G7:
[170] c'est,historique [170] historique,l'attendions [170] l'attendions,tous [170] tous,depuis [170] depuis,avons [170] avons,commencé [170] commencé,médecine [170] médecine,l'oms [170] l'oms,approuvé [170] approuvé,tout Top Word Pairs in Tweet in G8:
[87] contra,#malaria [59] primera,vacuna [49] vacuna,contra [43] #malaria,eficacia [43] eficacia,relativamente [43] relativamente,baja [43] baja,oms [43] oms,recomienda [43] recomienda,extienda [43] extienda,uso Top Word Pairs in Tweet in G9:
[42] #malaria,vaccine [24] first,#malaria [19] fight,against [17] against,#malaria [13] world's,first [13] globalfund,unitaid [12] week's,recommendation [12] recommendation,rts [12] rts,vaccine [12] vaccine,world's Top Word Pairs in Tweet in G10:
[65] district,entomologist [37] entomologist,starting [37] starting,week [37] week,ifakarahealth [37] ifakarahealth,roads [37] roads,lead [37] lead,th [37] th,mosquito [37] mosquito,city [37] city,partnership Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: