The graph represents a network of 2,470 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, 17 October 2022 at 04:18 UTC.
The requested start date was Monday, 17 October 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 11-day, 10-hour, 59-minute period from Monday, 03 October 2022 at 01:07 UTC to Friday, 14 October 2022 at 12:06 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 : 2470
Unique Edges : 2079
Edges With Duplicates : 5448
Total Edges : 7527
Number of Edge Types : 5
Tweet : 646
Mentions : 1146
Retweet : 2319
MentionsInRetweet : 3344
Replies to : 72
Self-Loops : 752
Reciprocated Vertex Pair Ratio : 0.0230219634824028
Reciprocated Edge Ratio : 0.0450077599586136
Connected Components : 206
Single-Vertex Connected Components : 104
Maximum Vertices in a Connected Component : 1966
Maximum Edges in a Connected Component : 6794
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.766045
Graph Density : 0.000633933651775949
Modularity : 0.451457
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 2,470 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, 17 October 2022 at 04:18 UTC.
The requested start date was Monday, 17 October 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 11-day, 10-hour, 59-minute period from Monday, 03 October 2022 at 01:07 UTC to Friday, 14 October 2022 at 12:06 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:
[208] #malaria,vaccine [205] #unicef,#endpolio [205] #endpolio,#women [205] #women,#menstruationmatter [202] #transformingeducation,#foodismedicine [201] #foodismedicine,#covid19 [199] #covid19,#vaccines [177] #vaccines,#letmelearn [170] #menstruationmatter,#transformingeducation [156] first,#malaria Top Word Pairs in Tweet in G1:
[86] ø,ø [50] ø,ù [40] #dengue,#malaria [37] ø,ú [34] र,य [33] #genetically,#modified [33] #whyinnews,#scinetists [33] #modifiedmosquitoes,#whyinnews [33] #mosquitoes,#geneticallymodifiedmosquitoes [33] #modified,#mosquitoes Top Word Pairs in Tweet in G2:
[40] researchers,institutpasteur [40] institutpasteur,begun [40] #malaria,researchers [40] great,news [40] begun,enrollment [40] enrollment,edition [40] news,#malaria [38] ðÿž,great [38] edition,✠[38] ÿ,#malaria Top Word Pairs in Tweet in G3:
[149] #malaria,vaccine [126] first,#malaria [93] year,ago [93] tens,thousands [93] save,tens [93] thousands,children [90] vaccine,introduced [90] introduced,widely [90] approved,first [90] ago,approved Top Word Pairs in Tweet in G4:
[109] pledge,globalfund [105] #tb,#malaria [83] #aids,#tb [64] million,lives [55] fight,#aids [49] lives,#ontheline [48] #hiv,#tb [45] #ontheline,uk [37] globalfund,fight [36] trussliz,jamescleverly Top Word Pairs in Tweet in G5:
[22] ø,ø [14] #dengue,#malaria [12] ù,ø [11] ø,û [10] ø,ù [10] ø,ú [9] ú,ø [8] û,ù [7] read,more [7] ग,क Top Word Pairs in Tweet in G6:
[83] biting,humans [83] malaria,vaccines [83] make,mosquitos [83] virus,deliver [83] deliver,biting [83] instead,virus [83] scientists,make [83] vaccines,instead [83] mosquitos,carry [83] carry,malaria Top Word Pairs in Tweet in G7:
[201] #endpolio,#women [201] #women,#menstruationmatter [201] #unicef,#endpolio [198] #transformingeducation,#foodismedicine [197] #foodismedicine,#covid19 [195] #covid19,#vaccines [176] #vaccines,#letmelearn [169] #menstruationmatter,#transformingeducation [125] #foreverychild,#onmymind [125] #childprotection,#suppliessavelives Top Word Pairs in Tweet in G8:
[93] prevention,mosquito [93] mosquito,borne [76] follow,friday [65] visakhapatnam,follow [65] citizens,visakhapatnam [65] dry,day [65] friday,dry [65] precautions,prevention [65] dear,citizens [65] day,precautions Top Word Pairs in Tweet in G9:
[38] indoor,residual [38] residual,spraying [33] director,general [33] henrymwebesa,flagged [33] logistics,indoor [33] health,services [33] spraying,irs [33] general,health [33] services,henrymwebesa [33] flagged,logistics Top Word Pairs in Tweet in G10:
[13] díaz,lab [13] ofertamos,beca [13] epigenética,adaptación [13] gómez,díaz [13] adaptación,#malaria [13] #jaeintro2022,epigenética [13] beca,#jaeintro2022 [12] reecelab,discuss [12] #epidemiological,#evolutionary [12] tsukushikamiya,amateurviking Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
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: