The graph represents a network of 3,796 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, 06 July 2021 at 03:50 UTC.
The requested start date was Monday, 05 July 2021 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, 23-hour, 17-minute period from Monday, 21 June 2021 at 00:02 UTC to Sunday, 04 July 2021 at 23:20 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 : 3796
Unique Edges : 2718
Edges With Duplicates : 7048
Total Edges : 9766
Number of Edge Types : 5
Retweet : 3175
MentionsInRetweet : 4571
Tweet : 875
Mentions : 1081
Replies to : 64
Self-Loops : 923
Reciprocated Vertex Pair Ratio : 0.0189416129662175
Reciprocated Edge Ratio : 0.0371789957838252
Connected Components : 548
Single-Vertex Connected Components : 313
Maximum Vertices in a Connected Component : 2550
Maximum Edges in a Connected Component : 7802
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.451927
Graph Density : 0.000362214715996729
Modularity : 0.47471
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,796 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, 06 July 2021 at 03:50 UTC.
The requested start date was Monday, 05 July 2021 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, 23-hour, 17-minute period from Monday, 21 June 2021 at 00:02 UTC to Sunday, 04 July 2021 at 23:20 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:
[569] #malaria,free [403] certified,#malaria [296] ल,म [295] द,ल [295] ल,ल [287] being,certified [276] congratulations,#china [276] #china,being [270] 70,years [268] 30,million Top Word Pairs in Tweet in G1:
[371] #malaria,free [274] certified,#malaria [231] 70,years [227] being,certified [218] congratulations,#china [218] #china,being [216] free,remarkable [216] remarkable,achievement [216] achievement,comes [216] comes,70 Top Word Pairs in Tweet in G2:
[64] #malaria,parasite [63] #malaria,free [62] #malaria,parasites [49] hiring,#postdoc [48] certified,#malaria [48] #postdoc,#singlecell [48] #singlecell,#genomics [48] #genomics,#malaria [48] parasite,come [48] come,join Top Word Pairs in Tweet in G3:
[37] #china,#malaria [32] malaria,free [28] take,#malaria [28] #malaria,pill [20] #malaria,free [14] 30,million [14] 70,year [14] remember,take [14] pill,hope [14] forget,take Top Word Pairs in Tweet in G4:
[295] द,ल [295] ल,ल [293] ल,म [184] क,र [184] स,ब [182] drharshvardhan,द [115] म,क [114] क,ब [114] ब,द [111] त,र Top Word Pairs in Tweet in G5:
[21] #malaria,#vaccine [14] treatment,humans [14] humans,reducing [14] reducing,#malaria [13] lasting,protection [12] investigational,#malaria [12] gives,strong [12] strong,lasting [10] malaria,news [10] news,results Top Word Pairs in Tweet in G6:
[72] market,vendors [69] distribution,mosquito [69] mosquito,nets [69] nets,market [68] vendors,spend [67] dr,dianaatwine [60] permanent,secretary [60] secretary,dr [58] launched,distribution [56] dianaatwine,launched Top Word Pairs in Tweet in G7:
[62] immunoglobulin,#antibodies [62] #antibodies,mostly [62] mostly,known [62] known,protective [62] protective,roles [62] roles,body [62] body,mucosal [62] mucosal,surfaces [62] surfaces,defend [52] sciencemagazine,immunoglobulin Top Word Pairs in Tweet in G8:
[17] contra,#malaria [15] libre,#malaria [12] hoy,salud [12] salud,global [12] global,noticia [12] noticia,día [12] día,#malaria [12] nuevo,logro [12] logro,camino [12] camino,hacia Top Word Pairs in Tweet in G9:
[28] #malaria,free [27] certified,#malaria [26] congratulations,#china [26] #china,being [26] being,certified [25] brian,greenwood [25] greenwood,chair [25] chair,malaria [25] malaria,elimination [23] free,brian Top Word Pairs in Tweet in G10:
[20] grand,prize [19] ai,xprize [18] ibm,watson [18] watson,ai [15] zzapp,malaria [13] israel,based [13] based,zzapp [13] malaria,won [13] won,grand [13] prize,million Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
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: