The graph represents a network of 9,105 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, 18 February 2022 at 16:21 UTC.
The requested start date was Friday, 18 February 2022 at 01:01 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, 23-hour, 26-minute period from Tuesday, 15 February 2022 at 01:31 UTC to Friday, 18 February 2022 at 00:57 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 : 9105
Unique Edges : 5384
Edges With Duplicates : 10468
Total Edges : 15852
Number of Edge Types : 5
Retweet : 4720
MentionsInRetweet : 6132
Replies to : 1335
Mentions : 2304
Tweet : 1361
Self-Loops : 1417
Reciprocated Vertex Pair Ratio : 0.0182906551380113
Reciprocated Edge Ratio : 0.0359242325277596
Connected Components : 1938
Single-Vertex Connected Components : 704
Maximum Vertices in a Connected Component : 2139
Maximum Edges in a Connected Component : 5224
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.198963
Graph Density : 0.00011081900383053
Modularity : 0.591713
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,105 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, 18 February 2022 at 16:21 UTC.
The requested start date was Friday, 18 February 2022 at 01:01 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, 23-hour, 26-minute period from Tuesday, 15 February 2022 at 01:31 UTC to Friday, 18 February 2022 at 00:57 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:
[894] dengue,malária [893] malária,outras [892] outras,doenças [891] sabiam,dengue [891] doenças,chamam [891] chamam,doenças [891] doenças,negligenciadas [891] negligenciadas,quê [891] quê,pois [891] pois,estão Top Word Pairs in Tweet in G1:
[889] dengue,malária [887] sabiam,dengue [887] malária,outras [887] outras,doenças [887] doenças,chamam [887] chamam,doenças [887] doenças,negligenciadas [887] negligenciadas,quê [887] quê,pois [887] pois,estão Top Word Pairs in Tweet in G2:
[49] covid,19 [23] ghana,rwanda [23] rwanda,senegal [21] tb,malaria [21] vaccines,africa [19] malaria,vaccines [16] senegal,partner [16] produce,covid [16] 19,tb [16] died,malaria Top Word Pairs in Tweet in G3:
[56] covid,19 [50] fight,against [45] mosquito,drives [44] young,people [43] test,kit [43] super,mosquito [43] drives,malaria [43] malaria,surge [43] surge,africa [40] kenya,medical Top Word Pairs in Tweet in G4:
[178] hospital,san [178] san,juan [178] juan,dios [178] dios,quito [178] quito,1565 [178] 1565,1974 [178] 1974,graduó [178] graduó,162 [178] 162,promociones [178] promociones,médicos Top Word Pairs in Tweet in G5:
[38] super,mosquito [38] malaria,surge [33] mosquito,drive [33] drive,malaria [30] huge,threat [29] 'a,huge [29] threat,africa' [29] africa',super [29] surge,continent's [29] continent's,megacities Top Word Pairs in Tweet in G6:
[142] hall,185 [136] north,caloocan [136] barangay,hall [99] 185,sa [99] sa,malaria [92] comelec,eto [92] eto,po [92] po,pakibaklas [92] pakibaklas,naman [92] malaria,north Top Word Pairs in Tweet in G7:
[92] global,survey [92] survey,shows [92] shows,2019 [92] 2019,antimicrobial [92] antimicrobial,resistance [92] resistance,killed [92] killed,more [92] more,people [92] people,hiv [92] hiv,aids Top Word Pairs in Tweet in G8:
[109] antibiotics,medicines [103] medicines,malaria [103] malaria,diabetes [102] medicines,supplies [101] essential,antibiotics [101] diabetes,including [101] including,insulin [101] insulin,treatment [101] treatment,sam [101] sam,medicines Top Word Pairs in Tweet in G9:
[103] malaria,drugs [100] apart,pizza [100] pizza,shawarma [100] shawarma,suya [100] suya,ice [100] ice,cream [100] cream,female [100] female,malaria [100] drugs,know [99] peter_pentane,apart Top Word Pairs in Tweet in G10:
[179] ghana,rwanda [179] rwanda,senegal [104] nakufoaddo,ghana [102] senegal,wed [102] wed,16th [102] 16th,feb [102] feb,2022 [102] 2022,entered [102] entered,joint [102] joint,partnership Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: