The graph represents a network of 9,773 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, 07 January 2022 at 16:21 UTC.
The requested start date was Friday, 07 January 2022 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 2-day, 14-hour, 16-minute period from Tuesday, 04 January 2022 at 10:43 UTC to Friday, 07 January 2022 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 : 9773
Unique Edges : 5550
Edges With Duplicates : 10305
Total Edges : 15855
Number of Edge Types : 5
Mentions : 3239
Replies to : 1913
Retweet : 4394
MentionsInRetweet : 5045
Tweet : 1264
Self-Loops : 1319
Reciprocated Vertex Pair Ratio : 0.0145281135632694
Reciprocated Edge Ratio : 0.0286401399212943
Connected Components : 2034
Single-Vertex Connected Components : 665
Maximum Vertices in a Connected Component : 2224
Maximum Edges in a Connected Component : 4684
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.949331
Graph Density : 9.57888146056707E-05
Modularity : 0.593565
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,773 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, 07 January 2022 at 16:21 UTC.
The requested start date was Friday, 07 January 2022 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 2-day, 14-hour, 16-minute period from Tuesday, 04 January 2022 at 10:43 UTC to Friday, 07 January 2022 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:
[754] white,house [588] malaria,auctioning [582] friday,malaria [582] stole,white [579] auctioning,shit [579] shit,stole [578] nothoodlum,friday [328] entender,reconocer [328] reconocer,sarscov2 [328] sarscov2,transmite Top Word Pairs in Tweet in G1:
[731] white,house [572] friday,malaria [572] malaria,auctioning [572] auctioning,shit [572] shit,stole [572] stole,white [571] nothoodlum,friday [160] malaria,classy [160] classy,enough [159] didn,guess Top Word Pairs in Tweet in G2:
[24] covid,19 [22] malaria,drugs [14] gt,gt [14] dois,anos [13] últimos,dois [13] nigeria,beating [13] beating,back [13] back,fake [13] fake,malaria [12] seguem,estáveis Top Word Pairs in Tweet in G3:
[207] contra,malária [206] malária,em [205] administração,em [205] em,massa [205] massa,drogas [205] drogas,ivermectina [205] ivermectina,diidroartemisinina [205] diidroartemisinina,piperaquina [205] piperaquina,contra [205] em,ambientes Top Word Pairs in Tweet in G4:
[328] entender,reconocer [328] reconocer,sarscov2 [328] sarscov2,transmite [328] transmite,principalmente [328] principalmente,aire [328] aire,aerosoles [328] aerosoles,gotículas [328] gotículas,importante [326] gorka_orive,entender [2] importante,saber Top Word Pairs in Tweet in G5:
[316] time,quit [316] quit,pretending [316] pretending,cold [316] cold,magical [316] magical,law [316] law,viruses [316] viruses,make [316] make,evolve [315] ianricksecker,time [4] areas,malaria Top Word Pairs in Tweet in G6:
[167] christine,decided [167] decided,keep [167] keep,secret [167] secret,mom [167] mom,hurt [167] hurt,told [167] told,mom [167] mom,sick [134] medical,supplies [134] shortage,vaccines Top Word Pairs in Tweet in G7:
[24] against,malaria [15] #drawtheline,against [12] malaria,cool [12] cool,joined [12] joined,movement [12] movement,#drawtheline [12] excellent,position [12] position,open [12] open,lovely [12] lovely,bob Top Word Pairs in Tweet in G8:
[198] virologist,know [198] know,bugs [198] bugs,here's [198] here's,cuppla [198] cuppla,non [198] non,viruses [197] hjelle_brian,virologist [7] ianricksecker,time [7] time,quit [7] quit,pretending Top Word Pairs in Tweet in G9:
[42] vacúnate,malaria [41] vas,congo [41] congo,viaje [41] viaje,vacúnate [41] malaria,otras [41] otras,cosas [41] cosas,antes [40] avión,asegúrate [39] antes,bajarte [39] bajarte,avión Top Word Pairs in Tweet in G10:
[4] nissatal,whywouldyou_uk [4] iq15991967,6tk9cn1rb4a49b1 [3] emmettimanu,mayamurful [3] mayamurful,michael__baskin [3] daggerhaft,kateharrison52 [3] kateharrison52,oliverkbrown [3] oliverkbrown,adam93452 [3] adam93452,israelies_21 [3] israelies_21,buckeye_ricky [3] buckeye_ricky,peterjarvis14 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 G7:
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: