The graph represents a network of 2,950 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 Tuesday, 29 September 2020 at 03:14 UTC.
The requested start date was Monday, 28 September 2020 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, 22-hour, 55-minute period from Monday, 14 September 2020 at 00:58 UTC to Sunday, 27 September 2020 at 23:54 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 : 2950
Unique Edges : 2541
Edges With Duplicates : 5248
Total Edges : 7789
Number of Edge Types : 5
Mentions : 1271
Retweet : 2179
MentionsInRetweet : 3529
Tweet : 650
Replies to : 160
Self-Loops : 683
Reciprocated Vertex Pair Ratio : 0.0374117647058824
Reciprocated Edge Ratio : 0.0721251984577002
Connected Components : 368
Single-Vertex Connected Components : 170
Maximum Vertices in a Connected Component : 1922
Maximum Edges in a Connected Component : 5944
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.716266
Graph Density : 0.000506807823393164
Modularity : 0.510729
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,950 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 Tuesday, 29 September 2020 at 03:14 UTC.
The requested start date was Monday, 28 September 2020 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, 22-hour, 55-minute period from Monday, 14 September 2020 at 00:58 UTC to Sunday, 27 September 2020 at 23:54 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:
[85] against,#malaria [82] diseases,such [82] #dengue,#malaria [78] #seharilagi,#otaklupa [78] #otaklupa,#cibayamabestmedicine [78] #cibayamabestmedicine,#covid19 [78] #covid19,#sopakkusta [78] #sopakkusta,#biawakbiomedicmsn [78] #biawakbiomedicmsn,#malaria [78] #malaria,#seksdanpaduantasbih Top Word Pairs in Tweet in G1:
[53] #tb,#malaria [51] fight,against [38] #hiv,#tb [36] million,people [34] globalfund,partnership [33] mosquito,nets [32] against,#malaria [31] 160,million [31] million,mosquito [31] protect,nearly Top Word Pairs in Tweet in G2:
[29] against,#malaria [25] malariajournal,describes [25] standards,#malaria [25] #malaria,microscopy [23] paper,malariajournal [23] comprehensive,standards [23] microscopy,research [21] describes,comprehensive [19] research,resources [19] resources,freely Top Word Pairs in Tweet in G3:
[48] indirect,effects [33] #covid,19 [32] congratulations,map [32] map,malariaatlas [32] malariaatlas,gmp [32] gmp,indirect [32] effects,#covid [32] 19,#pandemic [32] #pandemic,#malaria [31] simonihay,congratulations Top Word Pairs in Tweet in G4:
[28] take,#malaria [28] #malaria,pill [14] remember,take [14] pill,hope [14] forget,take [9] #malaria,#dengue [9] #seharilagi,#otaklupa [9] #otaklupa,#cibayamabestmedicine [9] #cibayamabestmedicine,#covid19 [9] #covid19,#sopakkusta Top Word Pairs in Tweet in G5:
[51] central,african [51] african,republic [44] republic,#malaria [38] msf,central [37] rainy,season [34] during,rainy [26] #malaria,one [26] one,biggest [26] biggest,killers [26] killers,during Top Word Pairs in Tweet in G6:
[20] congratulations,dr [20] dr,alfred [20] alfred,amambua [20] amambua,ngwa [20] ngwa,awarded [20] awarded,edctp [20] edctp,senior [20] senior,fellowship [20] fellowship,plus [20] plus,focus Top Word Pairs in Tweet in G7:
[69] #seharilagi,#otaklupa [69] #otaklupa,#cibayamabestmedicine [69] #cibayamabestmedicine,#covid19 [69] #covid19,#sopakkusta [69] #sopakkusta,#biawakbiomedicmsn [69] #biawakbiomedicmsn,#malaria [69] #malaria,#seksdanpaduantasbih [69] #seksdanpaduantasbih,#bmw [69] #bmw,#kesembuhankemaluanlelakidanwanita [69] #kesembuhankemaluanlelakidanwanita,#alquran Top Word Pairs in Tweet in G8:
[47] #tuberculosis,#malaria [45] spoke,shift [45] shift,focus [45] focus,#covid19 [45] #covid19,diseases [45] diseases,such [45] such,#tuberculosis [44] drharshvardhan,spoke [44] #malaria,ende [2] godrejgroup,fhi360 Top Word Pairs in Tweet in G9:
[12] sleep,under [11] fact,sheet [11] sheet,beat [11] beat,#malaria [11] #malaria,remember [11] remember,disease [11] disease,common [11] common,fever [11] fever,uganda [11] uganda,one Top Word Pairs in Tweet in G10:
[12] keynote,lecture [7] akhil,vaidya [7] #mpm2020,keynote [7] stumbling,towards [7] towards,truth [7] truth,basic [6] professor,akhil [6] vaidya,drexeluniv [6] drexeluniv,delivering [6] delivering,#mpm2020 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: