The graph represents a network of 3,988 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 August 2020 at 03:11 UTC.
The requested start date was Monday, 17 August 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 11-day, 13-hour, 47-minute period from Monday, 03 August 2020 at 00:03 UTC to Friday, 14 August 2020 at 13:51 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 : 3988
Unique Edges : 2274
Edges With Duplicates : 7163
Total Edges : 9437
Number of Edge Types : 5
Tweet : 736
Retweet : 3117
MentionsInRetweet : 4085
Mentions : 1382
Replies to : 117
Self-Loops : 791
Reciprocated Vertex Pair Ratio : 0.016369664318276
Reciprocated Edge Ratio : 0.0322120285423038
Connected Components : 512
Single-Vertex Connected Components : 286
Maximum Vertices in a Connected Component : 2704
Maximum Edges in a Connected Component : 7383
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.056863
Graph Density : 0.000308487539367538
Modularity : 0.490846
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,988 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 August 2020 at 03:11 UTC.
The requested start date was Monday, 17 August 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 11-day, 13-hour, 47-minute period from Monday, 03 August 2020 at 00:03 UTC to Friday, 14 August 2020 at 13:51 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:
[472] apoorva_nyc,read [443] read,rewteet [443] rewteet,one [443] one,articles [443] articles,one [443] one,horrifying [443] horrifying,pandemic [443] pandemic,#tuberculosis [439] #tuberculosis,#hivâ [197] ve,eyes Top Word Pairs in Tweet in G1:
[461] apoorva_nyc,read [433] read,rewteet [433] rewteet,one [433] one,articles [433] articles,one [433] one,horrifying [433] horrifying,pandemic [433] pandemic,#tuberculosis [430] #tuberculosis,#hivâ [189] ve,eyes Top Word Pairs in Tweet in G2:
[38] net,distribution [33] during,#covid19 [30] #malaria,deaths [30] #covid19,#malaria [30] mosquito,net [29] #malaria,#dengue [28] infectious,disease [28] paper,naturemedicine [27] reminder,happen [27] happen,neglect Top Word Pairs in Tweet in G3:
[23] take,#malaria [23] #malaria,pill [19] #hiv,#malaria [16] covid,19 [12] forget,take [11] parasite,'resistant [11] remember,take [11] pill,hope [10] #tuberculosis,#hiv [9] progress,against Top Word Pairs in Tweet in G4:
[70] dr,alineuwimana [62] #malaria,case [62] case,management [62] management,director [62] director,dr [62] alineuwimana,team [62] team,researchers [62] researchers,rbcrwanda [62] rbcrwanda,rwandahealth [61] rbcrwanda,#malaria Top Word Pairs in Tweet in G5:
[29] sadden,loss [29] loss,hermann [29] hermann,bujard [29] bujard,titan [29] titan,science [29] science,inventor [29] inventor,tet [29] tet,expression [29] expression,system [29] system,co Top Word Pairs in Tweet in G6:
[93] malaria,parasites [93] parasites,equatorial [93] equatorial,africa [93] africa,growing [93] growing,resistant [93] resistant,artemisinin [93] artemisinin,primary [93] primary,#malaria [93] #malaria,treatment [92] laurie_garrett,malaria Top Word Pairs in Tweet in G7:
[54] artemisinin,resistant [54] parasite,causes [53] resistant,strain [53] strain,parasite [53] causes,#malaria [53] #malaria,identified [53] identified,scientists [53] scientists,rwanda [52] rstmh,artemisinin [28] seeing,seeing Top Word Pairs in Tweet in G8:
[51] diagnosis,treatment [51] treatment,#malaria [51] #malaria,available [51] available,free [51] free,cost [51] cost,government [51] government,health [51] health,facilities [51] facilities,know [51] know,more Top Word Pairs in Tweet in G9:
[44] smart,phone [37] single,episode [37] episode,#malaria [37] #malaria,costs [37] costs,family [37] family,average [37] average,ugx [37] ugx,29 [37] 29,700 [37] 700,good Top Word Pairs in Tweet in G10:
[68] #tb,#malaria [62] #hiv,#tb [35] decades,progress [31] #covid19,threatens [31] against,#hiv [30] developing,countries [30] countries,hardest [30] progress,towards [30] towards,ending [30] ending,#hiv Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: