The graph represents a network of 4,711 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, 18 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 11-day, 14-hour, 17-minute period from Tuesday, 05 May 2020 at 19:50 UTC to Sunday, 17 May 2020 at 10:08 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 : 4711
Unique Edges : 3426
Edges With Duplicates : 8296
Total Edges : 11722
Number of Edge Types : 5
Retweet : 3574
MentionsInRetweet : 5175
Mentions : 1981
Tweet : 850
Replies to : 142
Self-Loops : 922
Reciprocated Vertex Pair Ratio : 0.0245653214228745
Reciprocated Edge Ratio : 0.0479526700918574
Connected Components : 663
Single-Vertex Connected Components : 320
Maximum Vertices in a Connected Component : 2603
Maximum Edges in a Connected Component : 8060
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.41123
Graph Density : 0.00028947023296878
Modularity : 0.51811
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 4,711 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, 18 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 11-day, 14-hour, 17-minute period from Tuesday, 05 May 2020 at 19:50 UTC to Sunday, 17 May 2020 at 10:08 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:
[334] #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 [263] #tb,#malaria Top Word Pairs in Tweet in G1:
[71] fight,against [65] community,based [63] based,health [63] health,care [59] against,#malaria [54] during,#covid19 [51] pregnant,women [42] guidance,community [42] care,unicef [42] unicef,ifrc Top Word Pairs in Tweet in G2:
[23] take,#malaria [23] #malaria,pill [22] partie,c'est [16] covid,19 [14] #malaria,#oms [14] #oms,#paludisme [12] giuseppeamani,partie [12] c'est,aubaine [12] aubaine,ce [12] ce,pays Top Word Pairs in Tweet in G3:
[175] #tb,#malaria [154] #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 G4:
[284] #covid19,#malaria [281] #postdoc,proyecto [280] investigador,#postdoc [280] proyecto,interdisciplinar [280] interdisciplinar,#covid19 [280] #malaria,desarrollar [279] buscamos,investigador [278] elenagomezdiaz,buscamos [278] desarrollar,elena [18] nereairigoyen,tropicafrica Top Word Pairs in Tweet in G5:
[33] #malaria,vaccines [30] parasite,causes [27] discovered,microbe [26] scientists,discovered [25] mosquitoes,being [24] #malaria,parasite [23] enfermedades,infecciosas [23] infecciosas,eran [23] eran,cosas [22] protects,mosquitoes Top Word Pairs in Tweet in G6:
[221] microbio,descubierto [221] descubierto,investigadores [221] investigadores,kenia [221] #malaria,mata [221] mata,unas [221] unas,400 [220] dw_espanol,microbio [216] kenia,permitirã [216] permitirã,control [216] control,biolã Top Word Pairs in Tweet in G7:
[33] #tb,#malaria [26] #aids,#tb [18] many,more [17] today,#womeninmalaria [15] womeninmalaria,today [14] #womeninmalaria,josemalinga [14] josemalinga,josephine [14] josephine,postdoc [14] postdoc,dukegh [14] dukegh,before Top Word Pairs in Tweet in G8:
[96] kuri,uyu [96] uyu,munsi [96] munsi,udasanzwe [96] udasanzwe,nifuje [96] nifuje,gufata [96] gufata,umwanya [96] umwanya,gushimira [95] umunsi,mpuzamahanga [95] mpuzamahanga,w'abaforomo [95] w'abaforomo,abaforomokazi Top Word Pairs in Tweet in G9:
[132] coronavirus,malaria [132] malaria,few [132] few,similar [132] similar,symptoms [132] symptoms,key [132] key,differentiators [132] differentiators,need [132] need,know [132] know,more [131] neimethplc,coronavirus Top Word Pairs in Tweet in G10:
[16] drharshvardhan,šà [16] šà,µ [16] µ,ˆ [16] ˆ,ˆà [16] ˆà,ˆà [16] ˆà,ªà [16] ªà,25 [16] 25,µà [16] µà,#dengue [16] #dengue,ªà 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 G7:
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: