The graph represents a network of 8,214 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, 09 September 2022 at 14:17 UTC.
The requested start date was Friday, 09 September 2022 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, 11-hour, 57-minute period from Tuesday, 06 September 2022 at 00:07 UTC to Thursday, 08 September 2022 at 12:05 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 : 8214
Unique Edges : 5332
Edges With Duplicates : 10794
Total Edges : 16126
Number of Edge Types : 5
Retweet : 4751
MentionsInRetweet : 6134
Mentions : 2723
Replies to : 945
Tweet : 1573
Self-Loops : 1633
Reciprocated Vertex Pair Ratio : 0.0156517765337599
Reciprocated Edge Ratio : 0.0308211473565804
Connected Components : 1757
Single-Vertex Connected Components : 778
Maximum Vertices in a Connected Component : 3114
Maximum Edges in a Connected Component : 9029
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.074181
Graph Density : 0.000131778706286491
Modularity : 0.550658
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,214 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, 09 September 2022 at 14:17 UTC.
The requested start date was Friday, 09 September 2022 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, 11-hour, 57-minute period from Tuesday, 06 September 2022 at 00:07 UTC to Thursday, 08 September 2022 at 12:05 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:
[951] malaria,vaccine [539] world,changing [447] vaccine,world [442] tb,malaria [359] changing,scientists [272] malaria,dengue [247] hiv,tb [219] mosquito,borne [175] aids,tb [174] ment,malaria Top Word Pairs in Tweet in G1:
[243] malaria,vaccine [144] world,changing [133] vaccine,world [127] changing,scientists [47] bbc,news [39] scientists,bbc [33] gt,gt [22] hopes,mass [21] malaria,jab [21] mass,rollout Top Word Pairs in Tweet in G2:
[410] tb,malaria [230] hiv,tb [166] aids,tb [141] save,20 [141] 20,million [127] back,track [122] fight,against [118] million,lives [113] against,hiv [96] applaud,germany Top Word Pairs in Tweet in G3:
[203] malaria,vaccine [80] world,changing [54] booster,dose [47] vaccine,world [42] #malaria,vaccine [41] progress,malaria [40] changing,scientists [36] 80,protection [35] #malaria,#vaccine [35] r21,malaria Top Word Pairs in Tweet in G4:
[158] tigray's,children [158] children,vaccinated [158] vaccinated,before [158] before,war [158] war,over [158] over,90 [158] 90,such [158] such,criminal [158] criminal,waste [158] waste,young Top Word Pairs in Tweet in G5:
[18] massive,outbreak [18] outbreak,#diarrhea [18] #diarrhea,#malaria [18] #malaria,flood [18] flood,victims [18] victims,pakistan [17] microbesinfect,massive [16] malaria,vaccine [13] local,#malaria [13] #malaria,transmission Top Word Pairs in Tweet in G6:
[63] inam,foundation [47] malaria,dengue [39] fumigation,spray [39] prevent,spread [38] catastrophe,already [38] already,malaria [38] dengue,growing [38] growing,rapidly [38] rapidly,perhaps [38] perhaps,district Top Word Pairs in Tweet in G7:
[127] malaria,vaccine [127] vaccine,world [127] world,changing [100] changing,scientists [99] bbcworld,malaria [27] changing,potential [27] potential,developed [27] developed,scientists [27] scientists,university [27] university,oxford Top Word Pairs in Tweet in G8:
[69] someone,khairpur [69] khairpur,around [69] around,pir [69] pir,pagaro [69] pagaro,doing [69] doing,relief [69] relief,work [69] work,aid [69] aid,far [69] far,food Top Word Pairs in Tweet in G9:
[136] malaria,dengue [135] black,smoke [135] smoke,mosquitos [135] mosquitos,pakistan [135] pakistan,battles [135] battles,deadly [135] deadly,mosquito [135] mosquito,borne [135] borne,diseases [135] diseases,such Top Word Pairs in Tweet in G10:
[140] nigeria,paying [140] paying,attention [140] attention,glaring [140] glaring,brain [140] brain,drain [140] drain,happening [140] happening,professions [140] professions,especially [140] especially,medical [140] medical,field 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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