The graph represents a network of 2,703 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, 25 April 2022 at 04:20 UTC.
The requested start date was Monday, 25 April 2022 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, 9-hour, 32-minute period from Monday, 11 April 2022 at 02:37 UTC to Sunday, 24 April 2022 at 12:10 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 : 2703
Unique Edges : 2217
Edges With Duplicates : 6720
Total Edges : 8937
Number of Edge Types : 5
Retweet : 2958
MentionsInRetweet : 4278
Tweet : 632
Mentions : 1006
Replies to : 63
Self-Loops : 670
Reciprocated Vertex Pair Ratio : 0.0349874228218614
Reciprocated Edge Ratio : 0.0676093680954485
Connected Components : 175
Single-Vertex Connected Components : 78
Maximum Vertices in a Connected Component : 2267
Maximum Edges in a Connected Component : 8315
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.77724
Graph Density : 0.00061970237307945
Modularity : 0.413956
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,703 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, 25 April 2022 at 04:20 UTC.
The requested start date was Monday, 25 April 2022 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, 9-hour, 32-minute period from Monday, 11 April 2022 at 02:37 UTC to Sunday, 24 April 2022 at 12:10 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:
[187] one,reason [187] reason,#covid19 [187] #covid19,numbers [187] numbers,low [187] low,#africa [187] #africa,deaths [187] deaths,#malaria [187] #malaria,two [187] two,studies [187] studies,show Top Word Pairs in Tweet in G1:
[43] take,#malaria [43] #malaria,pill [41] world,malaria [38] malaria,day [32] against,#malaria [28] forget,take [24] big,#malaria [23] र,य [23] prof,kevin [23] kevin,marsh Top Word Pairs in Tweet in G2:
[55] #worldmalariaday,2022 [55] 2022,marked [55] marked,under [55] under,theme [55] theme,harness [55] harness,#innovation [55] #malaria,disease [54] targetmalaria,#worldmalariaday [53] interim,ceo [53] reduce,#malaria Top Word Pairs in Tweet in G3:
[185] one,reason [185] reason,#covid19 [185] #covid19,numbers [185] numbers,low [185] low,#africa [185] #africa,deaths [185] deaths,#malaria [185] #malaria,two [185] two,studies [185] studies,show Top Word Pairs in Tweet in G4:
[26] #malaria,#parasites [25] happy,complete [25] complete,trilogy [25] trilogy,#malaria [25] #parasites,embopress [25] embopress,#plasmodium [25] #plasmodium,sporozoites [25] sporozoites,formation [25] formation,2019 [24] frischknechtlab,happy Top Word Pairs in Tweet in G5:
[5] world,malaria [5] malaria,day [4] malaria,vaccine [4] #malaria,#vaccine [3] against,#malaria [3] atovaquone,proguanil [3] proguanil,hydrochloride [3] hydrochloride,250mg [3] 250mg,100mg [3] 100mg,film Top Word Pairs in Tweet in G6:
[27] opigojimmy,#worldmalariaday [21] today,#chasemalariatozero [21] #chasemalariatozero,#rotary [21] #rotary,tackled [21] tackled,#urban [21] #urban,#malaria [21] #malaria,slum [21] slum,cleaning [21] cleaning,overall [21] overall,sanitation Top Word Pairs in Tweet in G7:
[27] globalfund,peterasands [27] peterasands,members [27] members,komeito [27] komeito,party [27] party,exchanged [27] exchanged,views [27] views,today [27] today,topics [27] topics,ranging [27] ranging,impact Top Word Pairs in Tweet in G8:
[11] urgently,needed [11] needed,#endmalaria [11] #endmalaria,diagnostics [11] diagnostics,vector [11] vector,control [11] control,approaches [11] approaches,better [11] better,antimalaria [11] antimalaria,medications [11] medications,speed Top Word Pairs in Tweet in G9:
[13] against,#malaria [12] more,malaria [11] talk,#malaria [11] #malaria,nigeria [11] nigeria,country [11] country,more [11] malaria,cases [11] cases,deaths [11] deaths,world [11] world,affects Top Word Pairs in Tweet in G10:
[17] solar,geoengineering [16] billion,people [13] risk,#malaria [12] one,billion [12] return,risk [11] #geoengineering,return [11] #malaria,one [11] people,gumedcenter [11] gumedcenter,naturecomms [11] naturecomms,natureclimate Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: