The graph represents a network of 3,696 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, 12 September 2022 at 04:21 UTC.
The requested start date was Monday, 12 September 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, 11-hour, 53-minute period from Monday, 29 August 2022 at 00:04 UTC to Sunday, 11 September 2022 at 11:58 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 : 3696
Unique Edges : 2932
Edges With Duplicates : 8236
Total Edges : 11168
Number of Edge Types : 5
Retweet : 3609
MentionsInRetweet : 5264
Mentions : 1431
Tweet : 811
Replies to : 53
Self-Loops : 860
Reciprocated Vertex Pair Ratio : 0.019360568383659
Reciprocated Edge Ratio : 0.0379857117964802
Connected Components : 278
Single-Vertex Connected Components : 163
Maximum Vertices in a Connected Component : 3024
Maximum Edges in a Connected Component : 10178
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.855693
Graph Density : 0.000420232676660282
Modularity : 0.44884
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 3,696 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, 12 September 2022 at 04:21 UTC.
The requested start date was Monday, 12 September 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, 11-hour, 53-minute period from Monday, 29 August 2022 at 00:04 UTC to Sunday, 11 September 2022 at 11:58 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:
[233] health,minister [222] sindh,health [222] minister,dr [222] dr,pechuho [222] pechuho,shared [222] shared,47 [222] 47,000 [222] 000,women [222] women,pregnant [222] pregnant,shelter Top Word Pairs in Tweet in G1:
[67] #malaria,#vaccine [58] malaria,vaccine [50] world,changing [49] #malaria,vaccine [41] ø,ø [41] ø,ù [41] take,#malaria [41] #malaria,pill [36] #dengue,#malaria [35] ù,ø Top Word Pairs in Tweet in G2:
[81] #tb,#malaria [64] million,lives [62] #malaria,deaths [49] globalfund,provides [48] fight,against [48] #hiv,#tb [48] provides,50 [48] 50,funding [48] funding,malaria [48] malaria,94 Top Word Pairs in Tweet in G3:
[92] #malaria,transmission [58] transmission,patterns [50] inspired,icopanhagen [50] icopanhagen,recent [50] recent,phd [50] phd,molecular [50] molecular,parasitology [50] parasitology,interested [50] interested,transmission [50] re,hiring Top Word Pairs in Tweet in G4:
[70] fight,against [67] against,#malaria [67] first,african [62] news,fight [62] african,pharmaceutical [62] pharmaceutical,manufacturer [62] manufacturer,achieve [61] great,news [61] #malaria,universal_kenya [61] universal_kenya,become Top Word Pairs in Tweet in G5:
[221] sindh,health [221] health,minister [221] minister,dr [221] dr,pechuho [221] pechuho,shared [221] shared,47 [221] 47,000 [221] 000,women [221] women,pregnant [221] pregnant,shelter Top Word Pairs in Tweet in G6:
[196] zonal,commissioner [181] friday,dry [181] dry,day [177] awareness,friday [176] corporator,smt [175] created,awareness [158] mosquito,borne [157] borne,seasonal [156] prevention,mosquito [128] day,program Top Word Pairs in Tweet in G7:
[49] àª,ઠ[22] malaria,vaccine [21] #malaria,#vaccine [21] world,changing [16] changing,scientists [10] vaccine,world [8] #dengue,#malaria [8] #vaccine,world [8] #malaria,vaccine [5] mosquito,nets Top Word Pairs in Tweet in G8:
[45] genetically,attenuated [43] vaccination,strategy [43] strategy,#malaria [43] #malaria,based [43] based,genetically [43] attenuated,#pfalciparum [43] #pfalciparum,protect [43] protect,healthy [43] healthy,volunteers [38] sciencemagazine,vaccination Top Word Pairs in Tweet in G9:
[37] sfh,ed [36] ed,gihanawandera [34] sfhrwanda,sfh [32] guests,participants [30] sfhrwanda,guests [29] rwandahealth,rbcrwanda [18] today,senior [18] senior,members [18] members,scjohnson [18] scjohnson,joined Top Word Pairs in Tweet in G10:
[8] fight,against [8] 000,people [8] amazing,millions [8] millions,households [8] households,benefit [8] benefit,llin [8] llin,mass [8] mass,distribution [8] distribution,niger [8] niger,state 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 G4:
Top Replied-To in G6:
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: