The graph represents a network of 5,891 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 Saturday, 22 February 2020 at 01:11 UTC.
The requested start date was Saturday, 22 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 17-hour, 25-minute period from Wednesday, 19 February 2020 at 15:26 UTC to Friday, 21 February 2020 at 08:51 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 : 5891
Unique Edges : 6664
Edges With Duplicates : 1010
Total Edges : 7674
Number of Edge Types : 4
MentionsInRetweet : 4344
Replies to : 809
Mentions : 1498
Tweet : 1023
Self-Loops : 1023
Reciprocated Vertex Pair Ratio : 0.0196656833824975
Reciprocated Edge Ratio : 0.038572806171649
Connected Components : 1231
Single-Vertex Connected Components : 494
Maximum Vertices in a Connected Component : 1720
Maximum Edges in a Connected Component : 2245
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.844624
Graph Density : 0.000179318744399892
Modularity : 0.816128
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 5,891 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 Saturday, 22 February 2020 at 01:11 UTC.
The requested start date was Saturday, 22 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 17-hour, 25-minute period from Wednesday, 19 February 2020 at 15:26 UTC to Friday, 21 February 2020 at 08:51 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:
[650] malaria,drugs [558] female,malaria [555] apart,ice [553] drugs,know [552] ice,cream [551] cream,pizza [551] pizza,shawama [551] shawama,female [546] jibbyford_,apart [314] chloroquine,drugs Top Word Pairs in Tweet in G1:
[530] malaria,drugs [519] female,malaria [518] apart,ice [518] ice,cream [518] cream,pizza [518] pizza,shawama [518] shawama,female [518] drugs,know [517] jibbyford_,apart [115] fellow,brothers Top Word Pairs in Tweet in G2:
[48] malaria,mata [48] mata,empobrece [48] empobrece,intentamos [48] intentamos,acabar [48] acabar,áfrica [43] lucha,áfrica [43] áfrica,acabar [43] acabar,mortal [43] mortal,ruinosa [43] ruinosa,malaria Top Word Pairs in Tweet in G3:
[233] chloroquine,drugs [233] cure,malaria [232] drugs,cure [232] malaria,cure [232] cure,coronavirus [232] coronavirus,same [231] seekthelord1st_,chloroquine [75] malaria,fc [75] world,record [75] record,transfer Top Word Pairs in Tweet in G4:
[10] tractor444,michaelcraddo16 [10] michaelcraddo16,xhawk80 [10] xhawk80,robin_ked [10] robin_ked,philzantos [8] philzantos,liltilgerlil [8] liltilgerlil,gregoryjhall1 [7] lizzyhock1963,tractor444 [6] shayarm,lizzyhock1963 [5] gregoryjhall1,theesi [4] clegrin,prageru Top Word Pairs in Tweet in G5:
[135] corona,virus [85] thought,chloroquine [85] chloroquine,cure [85] cure,corona [85] virus,well [85] well,think [85] think,nigerian [85] nigerian,doctors [84] kinglamarr___,thought [53] malaria,drugs Top Word Pairs in Tweet in G6:
[99] hiv,malaria [98] everyone,knows [98] knows,use [98] use,hiv [98] malaria,cancer [98] cancer,meds [98] meds,fight [98] fight,common [98] common,flu [98] flu,happens Top Word Pairs in Tweet in G7:
[64] once,again [64] again,malaria [64] malaria,puts [64] puts,stink [64] stink,distinction [64] distinction,please [64] please,tell [64] tell,again [64] again,fluent [64] fluent,six Top Word Pairs in Tweet in G8:
[41] helenclarknz,whosearo [41] whosearo,whoemro [41] whoemro,who_europe [41] who_europe,pahowho [41] pahowho,whoafro [41] whoafro,whowpro [41] whowpro,warming [41] warming,exceeds [41] exceeds,year [41] year,2100 Top Word Pairs in Tweet in G9:
[63] chloroquine,drugs [60] drugs,anti [60] anti,viral [60] viral,drug [60] drug,coronavirus [60] coronavirus,drug [60] drug,terror [60] terror,back [60] back,coronavirus [59] secretaryace,chloroquine Top Word Pairs in Tweet in G10:
[28] suzielhubl,harri_obi [22] still,nightmares [21] nightmares,bitter [21] bitter,potent [21] potent,chloroquine [21] chloroquine,drug [21] drug,legit [21] legit,shake [21] shake,core [21] core,vibrate Top Replied-To in Entire Graph:
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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:
Top Tweeters in G1:
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Top Tweeters in G10: