The graph represents a network of 9,763 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 Friday, 07 August 2020 at 15:06 UTC.
The requested start date was Friday, 07 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 2-day, 5-hour, 24-minute period from Tuesday, 04 August 2020 at 05:16 UTC to Thursday, 06 August 2020 at 10:40 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 : 9763
Unique Edges : 6337
Edges With Duplicates : 10759
Total Edges : 17096
Number of Edge Types : 5
Retweet : 4808
MentionsInRetweet : 6119
Tweet : 1333
Replies to : 1587
Mentions : 3249
Self-Loops : 1391
Reciprocated Vertex Pair Ratio : 0.0117461257526404
Reciprocated Edge Ratio : 0.023219512195122
Connected Components : 1749
Single-Vertex Connected Components : 629
Maximum Vertices in a Connected Component : 3791
Maximum Edges in a Connected Component : 8423
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 8.982072
Graph Density : 0.000107547859899365
Modularity : 0.613477
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,763 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 Friday, 07 August 2020 at 15:06 UTC.
The requested start date was Friday, 07 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 2-day, 5-hour, 24-minute period from Tuesday, 04 August 2020 at 05:16 UTC to Thursday, 06 August 2020 at 10:40 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:
[440] malaria,drug [415] covid,19 [307] save,lives [250] additional,deaths [246] share,lockdown [246] lockdown,zealot [246] zealot,claiming [246] claiming,save [246] lives,projected [246] projected,lockdown Top Word Pairs in Tweet in G1:
[84] biggest,monster [82] monster,spreading [79] spreading,coronavirus [47] covid,19 [25] york,times [18] coronavirus,york [16] progress,against [16] malaria,drug [12] million,people [12] hiv,malaria Top Word Pairs in Tweet in G2:
[159] nytimes,exhibe [159] exhibe,abandonado [159] abandonado,tratamiento [159] tratamiento,tuberculosis [159] tuberculosis,confunde [159] confunde,covid [159] covid,menciona [159] menciona,caso [158] carlosloret,nytimes [158] caso,méxi Top Word Pairs in Tweet in G3:
[242] malaria,drug [185] over,world [157] drug,used [156] used,over [147] drug,addicts [147] addicts,shoot [147] shoot,midtown [147] midtown,manhattan [147] manhattan,safe [147] safe,65 Top Word Pairs in Tweet in G4:
[191] lockdown,measures [191] measures,pandemic [191] pandemic,result [191] result,additional [191] additional,million [191] million,cases [191] cases,million [191] million,deaths [188] nythealth,lockdown [44] coronavirus,pandemic Top Word Pairs in Tweet in G5:
[17] malaria,drug [17] covid,19 [11] anti,malaria [10] malaria,lupus [9] exactly,already [9] already,shared [9] shared,twice [9] twice,refuses [9] refuses,accept [9] accept,again Top Word Pairs in Tweet in G6:
[240] share,lockdown [240] lockdown,zealot [240] zealot,claiming [240] claiming,save [240] save,lives [240] lives,projected [240] projected,lockdown [240] lockdown,caused [239] aginnt,share [237] additional,deaths Top Word Pairs in Tweet in G7:
[201] menurut,saya [201] saya,pelaporan [201] pelaporan,muanas [201] muanas,aidit [201] aidit,terhadap [201] terhadap,penyanyi [201] penyanyi,anji [201] anji,terlalu [201] terlalu,berlebihan [201] berlebihan,kalau Top Word Pairs in Tweet in G8:
[163] before,sleep [163] sleep,remember [163] remember,ncdc [163] ncdc,using [163] using,catch [163] catch,cruise [163] cruise,lagosians [163] lagosians,social [163] social,distancing [163] distancing,corona Top Word Pairs in Tweet in G9:
[43] mosquito,net [31] smart,phone [31] net,distribution [29] temperature,measuring [28] malaria,cases [27] uganda,simi [27] simi,mobile [27] measuring,smartphone [27] smartphone,named [27] named,g507 Top Word Pairs in Tweet in G10:
[153] lucha,contra [152] dramático,artículo [152] artículo,york [152] york,times [152] times,confirma [152] confirma,retroceso [152] retroceso,20 [152] 20,lucha [152] contra,malaria [152] malaria,sida 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: