The graph represents a network of 6,027 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, 15 February 2020 at 01:11 UTC.
The requested start date was Saturday, 15 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, 22-hour, 32-minute period from Wednesday, 12 February 2020 at 10:14 UTC to Friday, 14 February 2020 at 08:47 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 : 6027
Unique Edges : 6406
Edges With Duplicates : 1387
Total Edges : 7793
Number of Edge Types : 4
Tweet : 1309
MentionsInRetweet : 3861
Replies to : 854
Mentions : 1769
Self-Loops : 1309
Reciprocated Vertex Pair Ratio : 0.0218400687876182
Reciprocated Edge Ratio : 0.0427465499831707
Connected Components : 1510
Single-Vertex Connected Components : 641
Maximum Vertices in a Connected Component : 571
Maximum Edges in a Connected Component : 1089
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.1518
Graph Density : 0.000163607168560154
Modularity : 0.792996
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 6,027 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, 15 February 2020 at 01:11 UTC.
The requested start date was Saturday, 15 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, 22-hour, 32-minute period from Wednesday, 12 February 2020 at 10:14 UTC to Friday, 14 February 2020 at 08:47 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:
[328] mr,man [224] spain,ridden [173] combatiente,fermariortega [166] man,boobs [164] man,more [164] more,mr [164] boobs,amirite [164] amirite,once [164] once,again [164] again,nice Top Word Pairs in Tweet in G1:
[83] malaria,mata [83] mata,empobrece [83] empobrece,intentamos [83] intentamos,acabar [83] acabar,áfrica [82] lucha,áfrica [82] áfrica,acabar [82] acabar,mortal [82] mortal,ruinosa [82] ruinosa,malaria Top Word Pairs in Tweet in G2:
[173] combatiente,fermariortega [72] alcalde,lossifontes [68] fermariortega,despliegan [68] alcalde,cumana [67] pdta,imasocial [67] imasocial,elaboró [67] elaboró,diagnósticos [67] entregó,ripio [67] ripio,enceres [66] cumaná,#enterate Top Word Pairs in Tweet in G3:
[324] mr,man [162] man,more [162] more,mr [162] man,boobs [162] boobs,amirite [162] amirite,once [162] once,again [162] again,nice [162] nice,rack [162] rack,agolf Top Word Pairs in Tweet in G4:
[134] millones,casos [134] 000,muertos [133] gripe,eeuu [133] eeuu,temporada [133] temporada,19 [133] 19,millones [133] casos,10 [133] 10,000 [133] muertos,sarampión [133] sarampión,2018 Top Word Pairs in Tweet in G5:
[26] head,#malaria [25] #malaria,research [25] research,group [24] eliminate,malaria [24] malaria,biggest [24] biggest,goal [24] goal,faithosier [24] faithosier,#kenya [24] #kenya,head [24] group,#heidelberg Top Word Pairs in Tweet in G6:
[95] dear,jjc [95] jjc,buk [95] buk,girls [95] girls,allow [95] allow,those [95] those,chewing [95] chewing,gum [95] gum,boy [95] boy,friends [95] friends,take Top Word Pairs in Tweet in G7:
[96] guardian,newspaper [96] newspaper,famously [96] famously,predicted [96] predicted,back [96] back,1999 [96] 1999,year [96] year,2020 [96] 2020,spain [96] spain,ridden [96] ridden,malaria Top Word Pairs in Tweet in G8:
[92] climate,predictions [91] apocalyptic,climate [91] predictions,2020 [91] 2020,guardian [91] guardian,1999 [91] 1999,apparently [91] apparently,spain [91] spain,ridden [90] supportourlefty,apocalyptic [90] ridden,ma Top Word Pairs in Tweet in G9:
[137] gt,gt [12] flotus,vogue [12] vogue,cover [12] cover,malaria [12] malaria,gold [12] gold,digging [12] digging,crap's [12] crap's,going [12] going,hit [12] hit,fan Top Word Pairs in Tweet in G10:
[9] acosta,malaria [5] nightlypolitics,malaria [4] malaria,always [3] epstein,visa [3] 1jasliz,voicesresisting [3] voicesresisting,b52malmet [3] b52malmet,bearmanshannon [3] bearmanshannon,aynrandpaulryan [3] aynrandpaulryan,shannonritenour [3] shannonritenour,lfkraus Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: