The graph represents a network of 2,016 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 April 2022 at 03:46 UTC.
The requested start date was Monday, 04 April 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, 47-minute period from Monday, 21 March 2022 at 00:57 UTC to Sunday, 03 April 2022 at 10:45 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 : 2016
Unique Edges : 2043
Edges With Duplicates : 4433
Total Edges : 6476
Number of Edge Types : 5
Retweet : 1889
MentionsInRetweet : 3203
Mentions : 942
Replies to : 24
Tweet : 418
Self-Loops : 454
Reciprocated Vertex Pair Ratio : 0.0350627137970353
Reciprocated Edge Ratio : 0.067749931148444
Connected Components : 191
Single-Vertex Connected Components : 87
Maximum Vertices in a Connected Component : 1508
Maximum Edges in a Connected Component : 5635
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.214454
Graph Density : 0.000893841821261176
Modularity : 0.46547
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,016 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 April 2022 at 03:46 UTC.
The requested start date was Monday, 04 April 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, 47-minute period from Monday, 21 March 2022 at 00:57 UTC to Sunday, 03 April 2022 at 10:45 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:
[82] transmit,#malaria [82] #malaria,parasites [72] mosquitoes,12days [72] 12days,old [72] old,transmit [71] #tb,#malaria [71] parasites,take [71] take,long [71] long,mature [71] mature,inside Top Word Pairs in Tweet in G1:
[55] #malaria,infection [54] bed,net [54] net,nearly [54] nearly,halves [54] halves,#malaria [52] thelancet,study [46] tanzanian,children [44] grounding',bed [44] infection,tanzanian [43] 'mosquito,grounding' Top Word Pairs in Tweet in G2:
[52] #tb,#malaria [44] requested,billion [44] billion,globalfund [43] whitehouse,requested [43] globalfund,fy23 [43] fy23,pledging [43] pledging,billion [43] billion,ahead [42] major,news [42] news,whitehouse Top Word Pairs in Tweet in G3:
[64] transmit,#malaria [57] mosquitoes,12days [57] 12days,old [57] old,transmit [56] #malaria,parasites [56] parasites,take [56] take,long [56] long,mature [56] mature,inside [56] inside,th Top Word Pairs in Tweet in G4:
[31] take,#malaria [31] #malaria,pill [20] vector,borne [20] borne,diseases [18] forget,take [14] #malaria,#globalhealth [13] press,current [13] current,research [13] research,parasitology [13] parasitology,vector Top Word Pairs in Tweet in G5:
[4] #dengue,#malaria [4] prevent,malaria [4] erlebnis,#südafrika [4] #südafrika,#kapstadt [4] #kapstadt,#gardenroute [4] #malaria,freien [4] freien,#safari [3] used,treat [3] treat,#malaria [3] य,च Top Word Pairs in Tweet in G6:
[24] greater,mekong [18] #malaria,cases [16] countries,greater [12] six,countries [12] mekong,incl [12] incl,reduced [12] reduced,falciparum [12] falciparum,mixed [12] mixed,#malaria [12] cases,52 Top Word Pairs in Tweet in G7:
[17] please,add [17] add,calendars [17] calendars,monday [17] monday,28th [17] 28th,march [17] march,#webinar [17] #webinar,#malaria [17] #malaria,malarianomore [17] #malaria,immunology [16] hello,#academictwitter Top Word Pairs in Tweet in G8:
[18] grace,muliisa [18] muliisa,md [17] congratulations,uganda [17] uganda,today [17] today,launched [17] launched,#zeromalariabusinessleadershipinitiative [17] #zeromalariabusinessleadershipinitiative,zmbli [17] zmbli,becomes [17] becomes,4th [16] alma_2030,congratulations Top Word Pairs in Tweet in G9:
[13] highly,invasive [13] invasive,#malaria [13] #malaria,#parasite [13] #parasite,expanded [13] expanded,range [13] range,non [13] non,migratory [13] migratory,birds [13] birds,north [13] north,america Top Word Pairs in Tweet in G10:
[33] tdbgoi,supports [33] supports,sapigen [33] sapigen,biologix [33] biologix,pvt [33] pvt,ltd [33] ltd,sister [33] sister,concern [33] concern,bharatbiotech [33] bharatbiotech,indigenously [33] indigenously,manufacture 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 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: