The graph represents a network of 6,031 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, 09 May 2022 at 04:23 UTC.
The requested start date was Monday, 09 May 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 12-day, 15-hour, 12-minute period from Monday, 25 April 2022 at 20:15 UTC to Sunday, 08 May 2022 at 11:27 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 : 6031
Unique Edges : 4232
Edges With Duplicates : 13417
Total Edges : 17649
Number of Edge Types : 5
Retweet : 5985
MentionsInRetweet : 8277
Mentions : 2061
Tweet : 1237
Replies to : 89
Self-Loops : 1319
Reciprocated Vertex Pair Ratio : 0.0232320942883046
Reciprocated Edge Ratio : 0.0454092369033115
Connected Components : 384
Single-Vertex Connected Components : 104
Maximum Vertices in a Connected Component : 4860
Maximum Edges in a Connected Component : 15741
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.22305
Graph Density : 0.000248275012490744
Modularity : 0.452782
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,031 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, 09 May 2022 at 04:23 UTC.
The requested start date was Monday, 09 May 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 12-day, 15-hour, 12-minute period from Monday, 25 April 2022 at 20:15 UTC to Sunday, 08 May 2022 at 11:27 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:
[429] child,dies [424] dies,malaria [411] minutes,child [406] malaria,hopes [406] hopes,#endmalaria [406] #endmalaria,higher [406] higher,work [405] achyuta_samanta,minutes [346] work,togeth [308] র,য Top Word Pairs in Tweet in G1:
[108] र,य [62] क,ल [55] न,त [52] fight,against [47] मल,र [46] य,उन [46] उन,म [46] म,लन [46] take,#malaria [46] #malaria,pill Top Word Pairs in Tweet in G2:
[83] fight,against [75] against,#malaria [65] community,health [59] work,globalfund [56] promote,work [56] show,support [56] support,community [54] maellensirleaf,promote [40] globalfund,african [40] african,frontline Top Word Pairs in Tweet in G3:
[62] today,#worldmalariaday [54] #malaria,vaccine [53] rts,vaccine [49] million,children [46] beautiful,art [46] art,always [46] always,sudarsansand [46] sudarsansand,#malaria [46] #malaria,rts [46] vaccine,children Top Word Pairs in Tweet in G4:
[404] minutes,child [404] child,dies [404] dies,malaria [404] malaria,hopes [404] hopes,#endmalaria [404] #endmalaria,higher [404] higher,work [403] achyuta_samanta,minutes [345] work,togeth [58] work,togethâ Top Word Pairs in Tweet in G5:
[44] #malaria,unit [44] unit,institut [44] institut,pasteur [44] pasteur,cambodge [44] cambodge,pasteurcambodia [44] pasteurcambodia,seeks [44] seeks,experienced [44] experienced,creative [44] creative,autonomous [43] parafrap,#malaria Top Word Pairs in Tweet in G6:
[27] cellreports,cellrepmed [26] #worldmalariaday,collection [26] collection,cellreports [17] years,ago [17] ago,#malaria [17] #malaria,killed [17] killed,nearly [17] nearly,million [17] million,people [17] people,annually Top Word Pairs in Tweet in G7:
[282] র,য [282] স,ব [141] ম,য [141] য,ল [141] ল,র [141] য,প [141] প,রত [141] রত,র [141] র,ধ [141] ধ,র Top Word Pairs in Tweet in G8:
[42] today,#worldmalariaday [40] african,children [38] half,million [38] million,african [34] child,died [34] died,#malaria [32] whoafro,2020 [26] 2020,nearly [26] nearly,half [24] children,died Top Word Pairs in Tweet in G9:
[14] consultorio,#malaria [11] contra,#malaria [9] project,assistant [8] #malaria,prevention [7] #isglobaljobs,project [7] based,barcelona [6] nuevas,herramientas [6] #malaria,deben [5] latest,video [5] video,outlines Top Word Pairs in Tweet in G10:
[130] #andhrapradesh,emerges [130] emerges,best [130] best,performing [130] performing,state [130] state,controlling [130] controlling,#malaria [130] #malaria,last [130] last,3yrs [130] 3yrs,brought [130] brought,down Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: