The graph represents a network of 3,520 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, 06 July 2020 at 04:58 UTC.
The requested start date was Monday, 06 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 12-day, 15-hour, 27-minute period from Monday, 22 June 2020 at 18:36 UTC to Sunday, 05 July 2020 at 10:04 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 : 3520
Unique Edges : 2626
Edges With Duplicates : 9333
Total Edges : 11959
Number of Edge Types : 5
Retweet : 3596
MentionsInRetweet : 5479
Mentions : 2092
Tweet : 668
Replies to : 124
Self-Loops : 807
Reciprocated Vertex Pair Ratio : 0.0306433193757137
Reciprocated Edge Ratio : 0.0594644506001847
Connected Components : 441
Single-Vertex Connected Components : 214
Maximum Vertices in a Connected Component : 2263
Maximum Edges in a Connected Component : 9959
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.134591
Graph Density : 0.000437156087731535
Modularity : 0.417686
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 3,520 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, 06 July 2020 at 04:58 UTC.
The requested start date was Monday, 06 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 12-day, 15-hour, 27-minute period from Monday, 22 June 2020 at 18:36 UTC to Sunday, 05 July 2020 at 10:04 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:
[895] developing,countries [761] #tb,#malaria [756] #hiv,#tb [625] decades,progress [366] 1b,globalfund [358] approve,1b [357] towards,ending [356] progress,towards [355] countries,hardest [355] ending,#hiv Top Word Pairs in Tweet in G1:
[114] 15,years [68] saving,lives [63] fighting,#malaria [56] years,fighting [53] congratulations,pmigov [51] pmigov,15 [50] against,#malaria [48] years,ago [44] #malaria,saving [42] ago,today Top Word Pairs in Tweet in G2:
[223] #covid19,#malaria [222] ciencia,#coronavirus [222] #coronavirus,ciencia [222] ciencia,mata [222] mata,#cancer [222] #cancer,#covid19 [222] #malaria,ciencia [222] ciencia,crisis [221] elenagomezdiaz,ciencia [221] crisis,económi Top Word Pairs in Tweet in G3:
[895] developing,countries [728] #tb,#malaria [704] #hiv,#tb [619] decades,progress [366] 1b,globalfund [358] approve,1b [355] countries,hardest [355] progress,towards [355] towards,ending [355] ending,#hiv Top Word Pairs in Tweet in G4:
[154] malaria,attack [154] #covid19,take [154] stay,protected [153] attack,times [153] times,#covid19 [153] take,ample [153] ample,precautions [153] precautions,stay [144] protected,#malaria [144] #malaria,let's Top Word Pairs in Tweet in G5:
[25] take,#malaria [25] #malaria,pill [20] covid,19 [18] #media,confirmations [18] confirmations,#disease [18] #disease,southern [18] southern,part [18] part,#usa [18] #usa,passing [18] passing,#malaria Top Word Pairs in Tweet in G6:
[27] blood,cells [27] stage,#malaria [27] #malaria,#parasites [26] #plasmodium,replicates [26] replicates,red [26] red,blood [26] cells,textbooks [26] textbooks,sexual [26] sexual,stage [26] #parasites,develop Top Word Pairs in Tweet in G7:
[20] insecticide,resistance [18] sub,saharan [15] enfermedades,infecciosas [15] infecciosas,siguen [15] siguen,siendo [15] siendo,única [15] única,amenaza [15] amenaza,sistémica [15] sistémica,términos [15] términos,#saludglobal Top Word Pairs in Tweet in G8:
[76] cheaper,way [76] way,treat [76] treat,malaria [76] malaria,450 [76] 450,month [76] month,malaria [76] malaria,protection [76] protection,plan [76] plan,includes [76] includes,rapid Top Word Pairs in Tweet in G9:
[20] extremely,#contagious [18] #contagious,months [18] months,#coronavirus [18] ppl,getting [18] infected,affected [18] affected,#malaria [18] #malaria,year [17] getting,infected [15] #covid,fooled [15] despite,being Top Word Pairs in Tweet in G10:
[46] covid,19 [30] #covid19,same [30] same,#malaria [30] #malaria,covid [30] 19,malaria [30] malaria,similar [30] similar,symptoms [30] symptoms,very [30] very,different [29] nighealthwatch,#covid19 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 G9:
Top Replied-To in G10:
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: