The graph represents a network of 3,518 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, 04 July 2022 at 04:21 UTC.
The requested start date was Monday, 04 July 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 13-day, 9-hour, 30-minute period from Monday, 20 June 2022 at 02:26 UTC to Sunday, 03 July 2022 at 11:56 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 : 3518
Unique Edges : 3152
Edges With Duplicates : 11954
Total Edges : 15106
Number of Edge Types : 5
Retweet : 5322
MentionsInRetweet : 7235
Tweet : 725
Mentions : 1763
Replies to : 61
Self-Loops : 819
Reciprocated Vertex Pair Ratio : 0.0303925707049388
Reciprocated Edge Ratio : 0.0589922163047931
Connected Components : 134
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 3188
Maximum Edges in a Connected Component : 14636
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.816268
Graph Density : 0.000591862508795499
Modularity : 0.379559
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,518 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, 04 July 2022 at 04:21 UTC.
The requested start date was Monday, 04 July 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 13-day, 9-hour, 30-minute period from Monday, 20 June 2022 at 02:26 UTC to Sunday, 03 July 2022 at 11:56 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:
[1251] #tb,#malaria [1162] #aids,#tb [1115] infectious,disease [1104] disease,outbreaks [1101] defeat,#aids [1101] #malaria,responding [1101] responding,infectious [1101] outbreaks,wealthy [1101] wealthy,#g7 [1101] #g7,nations Top Word Pairs in Tweet in G1:
[114] #malaria,#ntds [73] #tb,#malaria [72] progress,against [66] against,malaria [62] against,#malaria [61] infectious,disease [56] dear,prospective [56] prospective,grad [56] grad,phd [56] phd,students Top Word Pairs in Tweet in G2:
[248] #malaria,#ntds [98] world,leaders [67] ending,#malaria [59] against,#malaria [54] neglected,tropical [53] kigali,summit [52] global,leaders [50] minister,drdanielngamije [46] tropical,diseases [46] fight,#malaria Top Word Pairs in Tweet in G3:
[1151] #tb,#malaria [1084] #aids,#tb [1053] defeat,#aids [1053] #malaria,responding [1053] responding,infectious [1053] infectious,disease [1053] disease,outbreaks [1053] outbreaks,wealthy [1053] wealthy,#g7 [1053] #g7,nations Top Word Pairs in Tweet in G4:
[526] prevention,mosquito [526] mosquito,borne [526] borne,seasonal [524] sensitize,citizens [524] citizens,prevention [522] awareness,campaign [403] conducted,awareness [401] zonal,commissioner [401] commissioner,conducted [401] campaign,sensitize Top Word Pairs in Tweet in G5:
[59] sir,#ronaldross [59] #ronaldross,received [59] received,#nobelprize [59] #nobelprize,1902 [59] 1902,discovering [59] discovering,#malaria [59] #malaria,parasite [59] parasite,stomach [59] stomach,#mosquito [59] #mosquito,thus Top Word Pairs in Tweet in G6:
[70] tropical,diseases [68] neglected,tropical [41] year,financial [41] financial,commitment [40] kigali,declaration [38] novartis,endorses [38] endorses,kigali [38] declaration,neglected [38] diseases,ntds [38] ntds,announces Top Word Pairs in Tweet in G7:
[12] rainy,season [11] children,whose [11] whose,families [11] families,#forcedtoflee [11] #forcedtoflee,homes [11] homes,higher [11] higher,risk [11] risk,#malaria [11] #malaria,especially [11] especially,during Top Word Pairs in Tweet in G8:
[6] मल,र [6] र,य [5] #malaria,#ntds [4] ending,#malaria [4] य,क [4] ह,ग [3] fight,against [3] read,more [3] against,malaria [3] इल,ज Top Word Pairs in Tweet in G9:
[14] #dengue,#malaria [11] dm_ghaziabad,gdagzb [10] area,mosquito [10] mosquito,breeding [10] breeding,grounds [10] grounds,growing [10] growing,each [10] each,day [10] #malaria,#mosquito [10] #mosquito,dm_ghaziabad Top Word Pairs in Tweet in G10:
[25] partnership,scjohnson [24] sfh,partnership [24] scjohnson,kirehedistrict [24] kirehedistrict,rwandahealth [24] rwandahealth,launched [24] launched,cyunuzi [24] cyunuzi,2nd [24] 2nd,gen [24] gen,healthpost [24] healthpost,#health Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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: