The graph represents a network of 2,590 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, 21 June 2021 at 03:53 UTC.
The requested start date was Monday, 21 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, 10-hour, 2-minute period from Monday, 07 June 2021 at 02:06 UTC to Sunday, 20 June 2021 at 12:09 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 : 2590
Unique Edges : 1878
Edges With Duplicates : 4670
Total Edges : 6548
Number of Edge Types : 5
Mentions : 1132
Retweet : 1983
MentionsInRetweet : 2784
Tweet : 584
Replies to : 65
Self-Loops : 616
Reciprocated Vertex Pair Ratio : 0.0365160131697097
Reciprocated Edge Ratio : 0.0704591394744441
Connected Components : 364
Single-Vertex Connected Components : 174
Maximum Vertices in a Connected Component : 1568
Maximum Edges in a Connected Component : 4850
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.534037
Graph Density : 0.000516440956765406
Modularity : 0.483649
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,590 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, 21 June 2021 at 03:53 UTC.
The requested start date was Monday, 21 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, 10-hour, 2-minute period from Monday, 07 June 2021 at 02:06 UTC to Sunday, 20 June 2021 at 12:09 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:
[236] against,#malaria [173] não,estamos [173] estamos,morrer [173] morrer,#covid19 [173] #covid19,mas [173] mas,sim [173] sim,#malária [173] #malária,situação [173] situação,grave [173] grave,mesmo Top Word Pairs in Tweet in G1:
[33] #malaria,mosquito [31] global,health [29] 20,years [27] #tb,#malaria [25] years,ago [25] session,#mesawebinars [22] #malaria,elimination [20] approaches,improve [19] against,#malaria [19] people,year Top Word Pairs in Tweet in G2:
[44] vaccine,yields [44] yields,full [38] protection,against [35] against,malaria [34] mrna,vaccine [34] full,protection [34] malaria,mice [34] mice,#mrnavaccine [34] #mrnavaccine,#malaria [34] #malaria,#dhpsp Top Word Pairs in Tweet in G3:
[41] yields,full [41] full,protection [41] protection,against [40] #vaccine,yields [40] against,#malaria [40] #malaria,mice [39] medical_xpress,mrna [39] mrna,#vaccine [24] first,day [24] day,#gem2021 Top Word Pairs in Tweet in G4:
[27] take,#malaria [27] #malaria,pill [14] remember,take [14] forget,take [13] pill,hope [11] malaria,#malaria [10] #dengue,#malaria [8] parasites,accumulate [8] accumulate,spleens [8] spleens,asymptomatic Top Word Pairs in Tweet in G5:
[171] não,estamos [171] estamos,morrer [171] morrer,#covid19 [171] #covid19,mas [171] mas,sim [171] sim,#malária [171] #malária,situação [171] situação,grave [171] grave,mesmo [170] lastprince16,não Top Word Pairs in Tweet in G6:
[108] vaccine,against [108] against,#malaria [108] #malaria,developed [108] developed,team [108] team,uniofoxford [108] uniofoxford,jenner [108] jenner,institute [108] institute,oxford [108] oxford,az [108] az,covid Top Word Pairs in Tweet in G7:
[4] ह,स [4] द,र [4] vedavyasbjp,mangalurucorp [4] આર,ગ [3] name,symptoms [3] symptoms,#malaria [3] #malaria,fill [3] fill,blanks [3] blanks,share [3] share,answers Top Word Pairs in Tweet in G8:
[33] thanks,hard [33] hard,work [33] work,put [33] put,entire [33] entire,#teamhealthcg [33] #teamhealthcg,malaria [33] malaria,mukt [33] mukt,bastar [33] bastar,abhiyan [33] abhiyan,ideated Top Word Pairs in Tweet in G9:
[5] determination,fight [5] fight,#ntds [5] #ntds,#malaria [5] #malaria,next [5] next,none [5] none,task [5] task,force [5] force,health [5] health,committee [5] committee,ready Top Word Pairs in Tweet in G10:
[33] 11th,#african [33] #african,congress [33] congress,#immunology [26] 17,june [26] june,11th [20] #immunology,virtual [18] take,place [13] last,day [13] day,submit [13] submit,#abstract Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: