The graph represents a network of 2,349 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, 07 June 2021 at 03:46 UTC.
The requested start date was Monday, 07 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, 38-minute period from Monday, 24 May 2021 at 00:46 UTC to Sunday, 06 June 2021 at 11:24 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 : 2349
Unique Edges : 1719
Edges With Duplicates : 4648
Total Edges : 6367
Number of Edge Types : 5
Retweet : 1987
MentionsInRetweet : 2720
Replies to : 52
Mentions : 1020
Tweet : 588
Self-Loops : 623
Reciprocated Vertex Pair Ratio : 0.0419847328244275
Reciprocated Edge Ratio : 0.0805860805860806
Connected Components : 347
Single-Vertex Connected Components : 162
Maximum Vertices in a Connected Component : 1302
Maximum Edges in a Connected Component : 4632
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.813414
Graph Density : 0.000593967638554374
Modularity : 0.455423
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,349 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, 07 June 2021 at 03:46 UTC.
The requested start date was Monday, 07 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, 38-minute period from Monday, 24 May 2021 at 00:46 UTC to Sunday, 06 June 2021 at 11:24 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:
[635] àª,ઠ[101] against,#malaria [83] member,states [74] virtual,event [66] work,#malaria [63] #africaday,celebrate [56] #glyphosate,key [56] key,ingredient [56] ingredient,monsanto [56] roundup,weedkiller Top Word Pairs in Tweet in G1:
[40] virtual,event [38] health,systems [34] covid,19 [32] community,health [31] #africaday,celebrate [29] cases,deaths [28] event,#malariawinwin [28] work,#malaria [28] #rt,aplma_malaria [27] #malariawinwin,event Top Word Pairs in Tweet in G2:
[44] looking,#datamanager [34] june,3rd [31] enduring,search [31] vaccines,masterclass [31] masterclass,prof [30] work,#malaria [26] #malaria,vaccines [25] #datamanager,work [25] research,themes [25] themes,including Top Word Pairs in Tweet in G3:
[27] take,#malaria [27] #malaria,pill [17] contra,#malaria [17] àª,ઠ[17] casos,#malaria [16] pionero,lucha [16] lucha,contra [16] #malaria,#epicentro [16] #epicentro,#contagio [16] #contagio,2000 Top Word Pairs in Tweet in G4:
[30] member,states [18] genetically,modified [18] #malaria,although [18] decline,infections [18] infections,deaths [18] deaths,stalled [18] stalled,still [18] still,causes [18] causes,celebration [18] celebration,february Top Word Pairs in Tweet in G5:
[15] #malaria,parasite [13] areas,high [12] reduce,#malaria [11] atlas,#malaria [11] parasite,gene [11] gene,activity [11] activity,provides [11] provides,targets [11] targets,drugs [11] drugs,vaccines Top Word Pairs in Tweet in G6:
[28] frischknechtlab,#malaria [18] #malaria,#parasites [18] #parasites,hide [18] hide,spleen [18] spleen,alive [18] alive,outnumbering [18] outnumbering,parasites [18] parasites,blood [18] blood,spectacular [18] spectacular,discovery Top Word Pairs in Tweet in G7:
[56] #glyphosate,key [56] key,ingredient [56] ingredient,monsanto [56] roundup,weedkiller [56] weedkiller,weakens [56] weakens,immune [56] immune,systems [56] systems,#mosquitoes [56] #mosquitoes,making [55] childrenshd,#glyphosate Top Word Pairs in Tweet in G8:
[28] member,states [28] #africaday,celebrate [27] celebrate,_africanunion [27] _africanunion,member [27] states,who've [27] who've,rolled [25] _africanunion,#africaday [25] rolled,#zeromalariastartswithmecampaig [21] close,#malaria [21] #malaria,information Top Word Pairs in Tweet in G9:
[26] #vivax,#malaria [10] iuidfellowship,#plasmodium [8] #plasmodium,#vivax [7] pre,clinical [7] clinical,work [7] work,scireports [7] scireports,improving [7] improving,r21 [7] r21,#malaria [7] #malaria,#vaccine Top Word Pairs in Tweet in G10:
[492] àª,ઠ[26] àª,વઠ[26] વàª,ઠ[26] àª,જà [26] જà,ઠ[13] #malaria,ઠ[13] àª,પà [13] પà,ઠ[13] àª,પઠ[13] પàª,ઠTop Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
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: