The graph represents a network of 3,309 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, 13 August 2019 at 11:35 UTC.
The requested start date was Monday, 12 August 2019 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 13-day, 23-hour, 55-minute period from Monday, 29 July 2019 at 00:04 UTC to Monday, 12 August 2019 at 00:00 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 : 3309
Unique Edges : 5169
Edges With Duplicates : 1570
Total Edges : 6739
Number of Edge Types : 3
Mentions : 5877
Replies to : 77
Tweet : 785
Self-Loops : 785
Reciprocated Vertex Pair Ratio : 0.0214566929133858
Reciprocated Edge Ratio : 0.0420119483522837
Connected Components : 477
Single-Vertex Connected Components : 283
Maximum Vertices in a Connected Component : 2305
Maximum Edges in a Connected Component : 5466
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.739189
Graph Density : 0.000474047000175038
Modularity : 0.668149
NodeXL Version : 1.0.1.418
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1043] à,à [617] #tb,#malaria [583] #aids,#tb [461] end,#aids [455] open,letter [428] globalfund,open [270] #malaria,2030 [270] sign,globalfund [245] part,promise [234] promise,end Top Word Pairs in Tweet in G1:
[501] #tb,#malaria [474] #aids,#tb [415] open,letter [399] globalfund,open [396] end,#aids [253] #malaria,2030 [250] sign,globalfund [228] part,promise [219] 2030,join [215] promise,end Top Word Pairs in Tweet in G2:
[47] #malaria,elimination [37] #ectmih2019,september [37] several,talks [34] interested,#malaria [34] #malaria,hosting [34] hosting,several [34] talks,sessions [34] sessions,#ectmih2019 [34] liverpool,rapid [32] rstmh,interested Top Word Pairs in Tweet in G3:
[283] à,à [25] take,#malaria [25] #malaria,pill [17] र,य [16] #dengue,#malaria [15] 1,800 [14] मल,र [13] #mosquitoes,#aedesaegypti [13] #aedesaegypti,#malaria [13] #vitalprotection,#hhltechnology Top Word Pairs in Tweet in G4:
[47] health,r [47] r,d [46] whoafro,who_europe [46] who_europe,whosearo [46] whosearo,whoemro [46] whoemro,pahowho [46] pahowho,whowpro [46] whowpro,drtedros [46] drtedros,doctorsoumya [46] doctorsoumya,1 Top Word Pairs in Tweet in G5:
[114] à,à [29] symptoms,#malaria [29] #malaria,develop [29] develop,seven [29] seven,days [29] days,bite [29] bite,infected [29] infected,mosquito [25] whosearo,whothailand [25] whothailand,whomaldives Top Word Pairs in Tweet in G6:
[14] #cameroon,finished [14] finished,second [14] second,wave [14] wave,smc [14] smc,campaign [14] campaign,prevent [14] prevent,#malaria [14] #malaria,young [14] young,children [14] children,let's Top Word Pairs in Tweet in G7:
[60] #tuberculosis,#tb [60] #tb,one [60] s,deadliest [60] deadliest,communicable [60] communicable,diseases [60] diseases,causing [60] causing,more [60] more,deaths [60] deaths,#malaria [60] #malaria,even Top Word Pairs in Tweet in G8:
[40] sijax07,sijax07 [25] nyota,na [25] na,mcheshi [25] mcheshi,katika [25] katika,mtandao [25] mtandao,#youtuber [25] #youtuber,6 [25] 6,amefariki [25] amefariki,baada [25] baada,kuugua Top Word Pairs in Tweet in G9:
[25] today,#womeninmalaria [20] #plasmodium,#malaria [16] #malaria,parasites [13] https,t [13] t,co [12] elenagomezdiaz,today [10] ðÿ,ï [10] ï,today [8] #malaria,friends [8] elenagomezdiaz,ðÿ Top Word Pairs in Tweet in G10:
[23] #malaria,outbreak [22] clinical,trial [19] hiring,immunologist [19] immunologist,ra [19] ra,join [19] join,busy [19] busy,#malaria [19] outbreak,pathogen [19] pathogen,#vaccine [19] #vaccine,clinical 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 G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: