The graph represents a network of 9,153 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 Friday, 26 February 2021 at 16:35 UTC.
The requested start date was Friday, 26 February 2021 at 01:01 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 3-day, 0-hour, 54-minute period from Tuesday, 23 February 2021 at 00:06 UTC to Friday, 26 February 2021 at 01:00 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 : 9153
Unique Edges : 6393
Edges With Duplicates : 9739
Total Edges : 16132
Number of Edge Types : 5
Retweet : 4166
MentionsInRetweet : 5674
Tweet : 1548
Replies to : 1658
Mentions : 3086
Self-Loops : 1615
Reciprocated Vertex Pair Ratio : 0.028193450444589
Reciprocated Edge Ratio : 0.0548407508964354
Connected Components : 2132
Single-Vertex Connected Components : 761
Maximum Vertices in a Connected Component : 2483
Maximum Edges in a Connected Component : 6798
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 6.974043
Graph Density : 0.000113193236349579
Modularity : 0.593158
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 9,153 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 Friday, 26 February 2021 at 16:35 UTC.
The requested start date was Friday, 26 February 2021 at 01:01 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 3-day, 0-hour, 54-minute period from Tuesday, 23 February 2021 at 00:06 UTC to Friday, 26 February 2021 at 01:00 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:
[609] gt,gt [468] fever,malaria [438] typhoid,fever [418] last,week [416] malaria,started [415] week,terrible [415] terrible,came [415] came,down [415] down,typhoid [415] started,treatment Top Word Pairs in Tweet in G1:
[33] covid,19 [23] malaria,treated [23] treated,venom [23] venom,conus [23] conus,nux [23] nux,snail [23] snail,#health [23] #health,#news [23] #news,#explore [23] #explore,#follow Top Word Pairs in Tweet in G2:
[74] against,malaria [50] preventable,treatable [48] deadly,disease [45] malaria,preventable [45] treatable,many [45] many,access [45] access,resources [45] resources,need [45] need,world [39] draw,line Top Word Pairs in Tweet in G3:
[142] congratulations,#elsalvador [96] country,central [96] central,america [95] first,country [90] salvador,primer [87] #elsalvador,becoming [87] becoming,first [87] america,#endmalaria [87] #endmalaria,receive [87] receive,certification Top Word Pairs in Tweet in G4:
[417] typhoid,fever [413] fever,malaria [408] malaria,started [407] last,week [407] week,terrible [407] terrible,came [407] came,down [407] down,typhoid [407] started,treatment [407] treatment,day Top Word Pairs in Tweet in G5:
[48] seeking,#postdoc [48] #postdoc,join [48] join,#adaptordie [48] #adaptordie,project [48] project,csic [48] csic,uofglasgow [48] uofglasgow,comusttb [48] comusttb,funded [48] funded,caixaciencia [48] caixaciencia,project Top Word Pairs in Tweet in G6:
[190] bill,gates [190] gates,bitcoin [190] bitcoin,clubhouse [190] clubhouse,haven't [190] haven't,chosen [190] chosen,invest [190] invest,buy [190] buy,vaccines [190] vaccines,invest [190] invest,malaria Top Word Pairs in Tweet in G7:
[602] gt,gt [158] malaria,pussy [154] olakunlehughes_,malaria [150] pussy,best [150] best,gt [18] genotype,aa [9] aa,know [9] know,nothing [9] nothing,special [9] special,genotype Top Word Pairs in Tweet in G8:
[33] malaria,corazon [28] malaria,heart [24] net,heart [21] podcast,dr [21] dr,valentin [21] valentin,fuster [21] heart,jaccjournals [19] state,art [19] proyecto,net [18] corazon,impresionante Top Word Pairs in Tweet in G9:
[95] western,world [95] world,worries [95] worries,#covid19 [95] #covid19,yemen [95] yemen,afford [95] afford,worry [95] worry,malaria [95] malaria,chikungunya [93] chikungunya,chol [2] chikungunya,cholera Top Word Pairs in Tweet in G10:
[31] billgates,brilliant [31] brilliant,smart [31] smart,enough [31] enough,fact [31] fact,check [31] check,climate [31] climate,change [31] change,hysteria [31] hysteria,co2 [31] co2,induced Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: