The graph represents a network of 6,597 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, 31 July 2020 at 15:03 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 3-hour, 35-minute period from Wednesday, 29 July 2020 at 07:06 UTC to Thursday, 30 July 2020 at 10:42 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 : 6597
Unique Edges : 3472
Edges With Duplicates : 7747
Total Edges : 11219
Number of Edge Types : 5
Retweet : 3688
MentionsInRetweet : 4395
Replies to : 972
Tweet : 572
Mentions : 1592
Self-Loops : 590
Reciprocated Vertex Pair Ratio : 0.0106255612092188
Reciprocated Edge Ratio : 0.0210276913964164
Connected Components : 902
Single-Vertex Connected Components : 266
Maximum Vertices in a Connected Component : 2797
Maximum Edges in a Connected Component : 5595
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.179054
Graph Density : 0.000155192103141871
Modularity : 0.593521
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,597 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, 31 July 2020 at 15:03 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 3-hour, 35-minute period from Wednesday, 29 July 2020 at 07:06 UTC to Thursday, 30 July 2020 at 10:42 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:
[1436] drug,used [1422] used,over [1415] over,world [1414] treat,malaria [1340] day,drug [1331] malaria,effective [1325] world,treat [1324] question,day [1323] drdavidsamadi,question [1323] effective,accord Top Word Pairs in Tweet in G1:
[1288] used,over [1288] over,world [1288] world,treat [1288] treat,malaria [1288] malaria,effective [1287] question,day [1287] day,drug [1287] drug,used [1286] drdavidsamadi,question [1286] effective,accord Top Word Pairs in Tweet in G2:
[35] covid,19 [25] malaria,drug [12] anti,malaria [9] donald,trump [7] malaria,drugs [7] treat,malaria [6] malaria,medication [6] treatment,covid [6] dengue,malaria [6] malaria,deaths Top Word Pairs in Tweet in G3:
[14] prevent,malaria [14] malaria,drug [9] against,malaria [9] straight,us_fda [9] us_fda,take [9] take,hydroxy [9] hydroxy,prevent [9] malaria,still [9] still,ok [9] ok,take Top Word Pairs in Tweet in G4:
[173] malaria,drugs [172] apart,pizza [172] pizza,shawarma [172] shawarma,ice [172] ice,cream [172] cream,female [172] female,malaria [172] drugs,know [171] hustleuthman,apart [51] instead,buying Top Word Pairs in Tweet in G5:
[18] stella_immanuel,alone [18] alone,doctor [18] doctor,scientist [18] scientist,same [18] same,situation [18] situation,march [18] march,government [18] government,picked [18] picked,hcq [17] priesterspr,stella_immanuel Top Word Pairs in Tweet in G6:
[7] malaria,lupus [7] curious,today [7] today,thinking [7] thinking,countries [7] countries,lot [7] lot,malaria [7] malaria,figured [7] figured,those [7] bill,gates [6] malaria,drug Top Word Pairs in Tweet in G7:
[55] children,below [54] #malaria,one [54] one,highest [54] highest,causes [54] causes,morbidity [54] morbidity,mortality [54] mortality,uganda [54] uganda,children [54] below,years [53] shemaenoch,#malaria Top Word Pairs in Tweet in G8:
[105] malaria,drug [89] drug,used [89] used,over [89] over,world [83] drug,addicts [83] addicts,shoot [83] shoot,midtown [83] midtown,manhattan [83] manhattan,safe [83] safe,65 Top Word Pairs in Tweet in G9:
[101] badala,kununua [101] kununua,mortein [101] mortein,doom [101] doom,ksh400 [101] ksh400,mbona [101] mbona,usiwache [101] usiwache,mbu [101] mbu,ikuume [101] ikuume,ununue [101] ununue,dawa Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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