The graph represents a network of 2,314 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, 11 April 2022 at 03:46 UTC.
The requested start date was Monday, 11 April 2022 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, 36-minute period from Monday, 28 March 2022 at 01:23 UTC to Sunday, 10 April 2022 at 11:59 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 : 2314
Unique Edges : 2498
Edges With Duplicates : 5034
Total Edges : 7532
Number of Edge Types : 5
Mentions : 956
Retweet : 2181
MentionsInRetweet : 3897
Replies to : 29
Tweet : 469
Self-Loops : 498
Reciprocated Vertex Pair Ratio : 0.0247560104736967
Reciprocated Edge Ratio : 0.0483159117305459
Connected Components : 188
Single-Vertex Connected Components : 86
Maximum Vertices in a Connected Component : 1879
Maximum Edges in a Connected Component : 6871
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.054701
Graph Density : 0.000804329816702483
Modularity : 0.482035
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,314 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, 11 April 2022 at 03:46 UTC.
The requested start date was Monday, 11 April 2022 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, 36-minute period from Monday, 28 March 2022 at 01:23 UTC to Sunday, 10 April 2022 at 11:59 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:
[396] #dengue,#malaria [363] antes,hubo [363] hubo,covid19 [363] covid19,#dengue [363] #malaria,#leptospirosis [363] #leptospirosis,mientras [363] mientras,minsa_peru [363] minsa_peru,autoridadrcc [363] autoridadrcc,quieren [362] gipeit,antes Top Word Pairs in Tweet in G1:
[43] #wmd2022,coming [43] coming,april [43] april,25 [43] keynote,speaker [41] jhmrimalaria,#wmd2022 [40] against,#malaria [36] take,#malaria [36] #malaria,pill [35] fight,against [33] bed,net Top Word Pairs in Tweet in G2:
[361] antes,hubo [361] hubo,covid19 [361] covid19,#dengue [361] #dengue,#malaria [361] #malaria,#leptospirosis [361] #leptospirosis,mientras [361] mientras,minsa_peru [361] minsa_peru,autoridadrcc [361] autoridadrcc,quieren [360] gipeit,antes Top Word Pairs in Tweet in G3:
[46] big,malaria [46] malaria,questions [46] questions,35th [46] 35th,edition [46] edition,ifakara [46] ifakara,masterclasses [46] masterclasses,feature [46] feature,prof [46] prof,kevin [46] kevin,marsh Top Word Pairs in Tweet in G4:
[67] #tb,#malaria [51] #hiv,#tb [45] requested,billion [45] billion,globalfund [44] whitehouse,requested [44] globalfund,fy23 [44] fy23,pledging [44] pledging,billion [44] billion,ahead [43] major,news Top Word Pairs in Tweet in G5:
[10] ãƒ,ム[6] #ãƒ,ム[5] infectious,diseases [3] #dengue,#malaria [3] #malaria,#dengue [3] prevent,malaria [3] #ã,ム[3] ghana,aiming [3] aiming,having [3] having,malaria Top Word Pairs in Tweet in G6:
[17] wwarn,study [15] study,123prabindahal [15] 123prabindahal,ricprice99 [11] ricprice99,recommends [11] longer,follow [11] #lecture,#infectiousdiseases [11] #infectiousdiseases,dr [11] dr,saman [11] saman,habib [11] habib,chief Top Word Pairs in Tweet in G7:
[63] hiring,looking [63] looking,postdoc [63] postdoc,join [63] join,#nyc [63] #nyc,columbia_mi [63] columbia_mi,projects [63] projects,using [63] using,situ [63] situ,#cryoet [63] #cryoet,understand Top Word Pairs in Tweet in G8:
[44] capitol,building [44] building,#monrovia [44] #monrovia,#liberia [44] #liberia,#art [44] #art,#malaria [44] #malaria,#africa [44] #africa,dublencoigor [43] dublencoigor,capitol Top Word Pairs in Tweet in G9:
[9] think,#plasmodium [9] #plasmodium,berghei [9] berghei,unable [9] unable,egress [9] egress,vitro [9] vitro,#sciart [9] #sciart,#malaria [8] thoreyjonsdott1,think [6] nearing,#malaria [6] #malaria,elimination Top Word Pairs in Tweet in G10:
[28] 25,jóvenes [28] jóvenes,22 [28] 22,30 [28] 30,#venezolanos [28] #venezolanos,diferentes [28] diferentes,universidades [28] universidades,#ucv [28] #ucv,#udo [28] #udo,reunidos [27] davidforeromd,25 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
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: