The graph represents a network of 1,997 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, 26 December 2022 at 05:18 UTC.
The requested start date was Monday, 26 December 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 13-day, 5-hour, 56-minute period from Monday, 12 December 2022 at 04:42 UTC to Sunday, 25 December 2022 at 10:38 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 : 1997
Unique Edges : 1703
Edges With Duplicates : 3481
Total Edges : 5184
Number of Edge Types : 5
Retweet : 1454
MentionsInRetweet : 2367
Tweet : 505
Mentions : 816
Replies to : 42
Self-Loops : 550
Reciprocated Vertex Pair Ratio : 0.0306859205776173
Reciprocated Edge Ratio : 0.0595446584938704
Connected Components : 306
Single-Vertex Connected Components : 187
Maximum Vertices in a Connected Component : 1173
Maximum Edges in a Connected Component : 3503
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.880553
Graph Density : 0.000716254742835696
Modularity : 0.506388
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,997 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, 26 December 2022 at 05:18 UTC.
The requested start date was Monday, 26 December 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 13-day, 5-hour, 56-minute period from Monday, 12 December 2022 at 04:42 UTC to Sunday, 25 December 2022 at 10:38 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:
[143] क,त [134] र,य [107] छत,त [107] त,सगढ [99] against,#malaria [99] म,क [84] fight,against [75] मल,र [73] deputy,director [70] millions,more Top Word Pairs in Tweet in G1:
[70] deputy,director [62] fight,against [61] against,#malaria [58] millions,more [57] people,access [57] #malaria,millions [57] major,milestone [57] more,people [57] powerful,tool [57] milestone,fight Top Word Pairs in Tweet in G2:
[33] #malaria,cases [22] global,efforts [21] malaria,report [21] world,malaria [20] report,2022 [19] remained,stable [18] #malaria,elimination [18] cases,deaths [17] deaths,remained [16] 997,000 Top Word Pairs in Tweet in G3:
[27] #malaria,pill [27] take,#malaria [21] र,य [18] छत,त [18] त,सगढ [18] क,त [15] मल,र [14] forget,take [14] क,क [13] म,क Top Word Pairs in Tweet in G4:
[22] radical,cure [17] cure,vivax [17] vivax,malaria [12] workers,#malaria [12] #malaria,policy [12] vivax,#malaria [12] malariologists,health [12] calling,malariologists [12] policy,makers [12] makers,help Top Word Pairs in Tweet in G5:
[33] #farc,#eln [33] #eln,controlan [33] desalojar,#farc [33] dhernandezlarez,zodiamazonas [33] minería,evaluación [33] zodiamazonas,desalojar [33] evaluación,inparques [33] controlan,minería [30] tareas,dhernandezlarez [29] sosorinoco,tareas Top Word Pairs in Tweet in G6:
[13] quantitative,analyses [13] interested,quantitative [13] apply,phd [13] #malaria,apply [13] eliminating,#malaria [13] phd,improving [13] improving,design [13] design,vector [13] analyses,eliminating [12] vector,cont Top Word Pairs in Tweet in G7:
[21] ending,#malaria [21] commitment,sustained [21] political,commitment [21] good,#africa [21] funding,strong [21] #malaria,good [21] strong,data [21] need,political [21] #africa,possible [21] possible,need Top Word Pairs in Tweet in G8:
[6] oversees,president's [6] coordinator,oversees [6] president's,malaria [6] drdavidwalton,global [6] global,malaria [6] recently,met [6] met,drdavidwalton [6] malaria,coordinator [5] malaria,initiat [5] #malaria,prevention Top Word Pairs in Tweet in G9:
[6] rectal,artesunate [5] chai_health,medaccessuk [5] sumivector,envumalaria [5] fcdogovuk,swissdevcoop [5] globalfund,fcdogovuk [5] medaccessuk,sumivector [5] gatesfoundation,globalfund [5] swissdevcoop,chai_health [4] minute,#malaria [4] severe,#malaria Top Word Pairs in Tweet in G10:
[12] tweet,#malaria [12] transmission,blocking [12] blocking,paper [12] #malaria,wehi_research [12] please,tweet [12] first,transmission [12] access,biochemical_journal [12] biochemical_journal,please [12] open,access [12] wehi_research,first Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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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 G10: