The graph represents a network of 4,674 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 Tuesday, 19 May 2020 at 04:32 UTC.
The requested start date was Monday, 18 May 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, 2-hour, 5-minute period from Tuesday, 05 May 2020 at 21:47 UTC to Sunday, 17 May 2020 at 23:53 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 : 4674
Unique Edges : 3461
Edges With Duplicates : 8241
Total Edges : 11702
Number of Edge Types : 5
Tweet : 869
Retweet : 3533
MentionsInRetweet : 5150
Mentions : 2002
Replies to : 148
Self-Loops : 949
Reciprocated Vertex Pair Ratio : 0.0249560070388738
Reciprocated Edge Ratio : 0.048696737942875
Connected Components : 671
Single-Vertex Connected Components : 325
Maximum Vertices in a Connected Component : 2642
Maximum Edges in a Connected Component : 8183
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.448584
Graph Density : 0.000293339288940436
Modularity : 0.517063
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 4,674 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 Tuesday, 19 May 2020 at 04:32 UTC.
The requested start date was Monday, 18 May 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, 2-hour, 5-minute period from Tuesday, 05 May 2020 at 21:47 UTC to Sunday, 17 May 2020 at 23:53 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:
[341] #covid19,#malaria [291] #postdoc,proyecto [290] investigador,#postdoc [290] proyecto,interdisciplinar [290] interdisciplinar,#covid19 [290] #malaria,desarrollar [289] buscamos,investigador [288] elenagomezdiaz,buscamos [288] desarrollar,elena [268] #tb,#malaria Top Word Pairs in Tweet in G1:
[65] community,based [64] fight,against [63] based,health [63] health,care [55] against,#malaria [54] during,#covid19 [47] pregnant,women [42] guidance,community [42] care,unicef [42] unicef,ifrc Top Word Pairs in Tweet in G2:
[28] partie,c'est [24] take,#malaria [24] #malaria,pill [18] #malaria,#oms [18] #oms,#paludisme [16] covid,19 [16] giuseppeamani,partie [16] c'est,ce [16] ce,moment [16] moment,là Top Word Pairs in Tweet in G3:
[290] #covid19,#malaria [286] #postdoc,proyecto [285] investigador,#postdoc [285] proyecto,interdisciplinar [285] interdisciplinar,#covid19 [285] #malaria,desarrollar [284] buscamos,investigador [283] elenagomezdiaz,buscamos [283] desarrollar,elena [18] nereairigoyen,tropicafrica Top Word Pairs in Tweet in G4:
[175] #tb,#malaria [153] #aids,#tb [146] against,#aids [145] leadership,critical [145] critical,confront [145] confront,#covid19 [145] #covid19,protecting [145] protecting,progress [145] progress,made [145] made,against Top Word Pairs in Tweet in G5:
[33] #malaria,vaccines [30] parasite,causes [25] discovered,microbe [25] mosquitoes,being [24] scientists,discovered [24] #malaria,parasite [23] enfermedades,infecciosas [23] infecciosas,eran [23] eran,cosas [22] protects,mosquitoes Top Word Pairs in Tweet in G6:
[41] liver,stage [21] target,cell [21] cell,based [21] based,vaccines [21] vaccines,against [20] check,latest [20] latest,work [20] work,identifying [20] identifying,excellent [20] excellent,target Top Word Pairs in Tweet in G7:
[97] kuri,uyu [97] uyu,munsi [97] munsi,udasanzwe [97] udasanzwe,nifuje [97] nifuje,gufata [97] gufata,umwanya [97] umwanya,gushimira [96] umunsi,mpuzamahanga [96] mpuzamahanga,w'abaforomo [96] w'abaforomo,abaforomokazi Top Word Pairs in Tweet in G8:
[133] coronavirus,malaria [133] malaria,few [133] few,similar [133] similar,symptoms [133] symptoms,key [133] key,differentiators [133] differentiators,need [133] need,know [133] know,more [132] neimethplc,coronavirus Top Word Pairs in Tweet in G9:
[18] today,guardian [18] guardian,experts [18] experts,fear [18] fear,madagascar's [18] madagascar's,organics [18] organics,accelerate [18] accelerate,malaria [18] malaria,resistance [18] resistance,guardian [17] guardiannigeria,today Top Word Pairs in Tweet in G10:
[54] utilisation,massive [54] massive,#chloroquine [54] #chloroquine,#azithromycine [54] #azithromycine,serait [54] serait,dangereuse [54] dangereuse,pourrait [53] tests,#malaria [53] #malaria,405 [53] 405,000 [53] 2018,dont 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 G4:
Top Replied-To in G5:
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 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:
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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: