The graph represents a network of 2,963 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, 06 September 2021 at 03:49 UTC.
The requested start date was Monday, 06 September 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, 31-minute period from Monday, 23 August 2021 at 01:29 UTC to Sunday, 05 September 2021 at 12:00 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 : 2963
Unique Edges : 1785
Edges With Duplicates : 5385
Total Edges : 7170
Number of Edge Types : 5
MentionsInRetweet : 2948
Mentions : 1099
Retweet : 2276
Tweet : 773
Replies to : 74
Self-Loops : 800
Reciprocated Vertex Pair Ratio : 0.0333993772997453
Reciprocated Edge Ratio : 0.0646398247055601
Connected Components : 457
Single-Vertex Connected Components : 267
Maximum Vertices in a Connected Component : 1655
Maximum Edges in a Connected Component : 4884
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.279558
Graph Density : 0.000416001720977813
Modularity : 0.473733
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 2,963 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, 06 September 2021 at 03:49 UTC.
The requested start date was Monday, 06 September 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, 31-minute period from Monday, 23 August 2021 at 01:29 UTC to Sunday, 05 September 2021 at 12:00 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:
[253] #malaria,vaccine [149] young,children [142] #dengue,#malaria [141] severe,#malaria [137] children,dramatically [137] dramatically,reduced [130] science,shows [130] shows,severe [130] #malaria,death [130] death,young Top Word Pairs in Tweet in G1:
[61] fight,against [55] against,#malaria [39] #malaria,control [28] #malaria,#dengue [28] #tb,#malaria [25] covid,19 [25] #malaria,vaccine [25] die,#malaria [25] #hiv,#tb [25] public,health Top Word Pairs in Tweet in G2:
[32] #dengue,#malaria [14] र,य [13] #malaria,#dengue [13] ड,ग [13] #malaria,#tuberculosis [11] मल,र [11] य,क [11] #rwanda,#senegal [10] read,more [10] reduction,severe Top Word Pairs in Tweet in G3:
[88] seasonal,vaccination [88] drug,combination [85] exciting,#globalhealth [85] #globalhealth,news [85] news,seasonal [85] vaccination,preventive [85] preventive,drug [85] combination,dramatically [85] dramatically,reduces [85] reduces,#malaria Top Word Pairs in Tweet in G4:
[153] #malaria,vaccine [116] severe,#malaria [115] science,shows [115] shows,severe [115] #malaria,death [115] death,young [115] young,children [115] children,dramatically [115] dramatically,reduced [115] reduced,use Top Word Pairs in Tweet in G5:
[51] finally,print [51] print,story [51] story,used [51] used,#cryoem [51] #cryoem,#cryoid [51] #cryoid,determine [51] determine,structure [51] structure,native [51] native,rhoph [51] rhoph,complex Top Word Pairs in Tweet in G6:
[92] #mrna,impfstoff [92] impfstoff,gegen [92] gegen,#malaria [92] #malaria,afrika [92] afrika,testen [91] #biontech,2022 [91] 2022,#mrna [91] testen,bisher [91] bisher,stirbt [91] stirbt,alle Top Word Pairs in Tweet in G7:
[14] #malaria,parasites [14] parasites,use [14] use,#hemoglobin [14] #hemoglobin,major [14] major,nutrient [14] nutrient,source [14] source,survival [14] survival,study [14] study,reported [14] reported,several Top Word Pairs in Tweet in G8:
[22] र,य [15] मल,र [12] madhya,pradesh [12] pradesh,ब [12] ब,ल [12] ल,घ [12] घ,ट [12] ट,म [12] म,मल [12] य,न Top Word Pairs in Tweet in G9:
[20] study,mosquitoes [16] teams,sucre [16] sucre,state [16] state,#venezuela [14] #venezuela,trap [14] trap,study [14] design,#malaria [13] #malaria,control [12] mosquitoes,step [11] msf,teams Top Word Pairs in Tweet in G10:
[19] use,case [19] case,rts [19] rts,vaccine [19] vaccine,areas [19] areas,#malaria [19] #malaria,seasonality [19] seasonality,step [19] step,closer [19] closer,potential [19] potential,#who Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: