The graph represents a network of 4,273 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, 09 September 2019 at 12:32 UTC.
The requested start date was Monday, 09 September 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 9-day, 14-hour, 23-minute period from Friday, 30 August 2019 at 09:35 UTC to Sunday, 08 September 2019 at 23:59 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 : 4273
Unique Edges : 8774
Edges With Duplicates : 1982
Total Edges : 10756
Number of Edge Types : 3
Mentions : 10055
Replies to : 58
Tweet : 643
Self-Loops : 643
Reciprocated Vertex Pair Ratio : 0.00972996610910681
Reciprocated Edge Ratio : 0.0192724122996968
Connected Components : 335
Single-Vertex Connected Components : 172
Maximum Vertices in a Connected Component : 3359
Maximum Edges in a Connected Component : 9542
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.059482
Graph Density : 0.000505964198157405
Modularity : 0.547616
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2026] #tb,#malaria [1991] #aids,#tb [1873] against,#aids [1866] #stepupthefight,against [1396] globalfund,1 [1395] regsprecher,bmz_bund [1381] contribution,globalfund [1370] 1,billion [1369] chancellor,merkel [1369] bmz_bund,increased Top Word Pairs in Tweet in G1:
[1990] #tb,#malaria [1978] #aids,#tb [1866] against,#aids [1864] #stepupthefight,against [1396] globalfund,1 [1395] regsprecher,bmz_bund [1381] contribution,globalfund [1369] chancellor,merkel [1369] bmz_bund,increased [1369] increased,contribution Top Word Pairs in Tweet in G2:
[101] #malaria,parasites [99] phd,opportunity [99] opportunity,available [99] available,seeking [99] seeking,enthusiastic [99] enthusiastic,candidate [99] candidate,study [99] study,glycosylation [99] glycosylation,#malaria [99] parasites,papers Top Word Pairs in Tweet in G3:
[253] prevention,key [253] key,billions [253] billions,people [253] people,around [253] around,world [253] world,risk [253] risk,#malaria [253] #malaria,envelope [253] envelope,effective [252] hfiskjohnson,prevention Top Word Pairs in Tweet in G4:
[71] #anopheles,#enemigo [71] #enemigo,más [71] más,mortífero [71] mortífero,#humanidad [71] #humanidad,entre [71] entre,1980 [71] 1980,2010 [71] 2010,#malaria [71] #malaria,acabó [71] acabó,vida Top Word Pairs in Tweet in G5:
[57] researchers,identified [57] identified,new [57] new,anti [57] anti,malarial [57] malarial,drug [57] drug,target [57] target,blocks [57] blocks,completion [57] completion,several [57] several,critical Top Word Pairs in Tweet in G6:
[146] gurugrammda,dc_gurugram [144] #dengue,#malaria [140] badshahpur,nala [139] need,support [139] support,gurugrammda [139] dc_gurugram,save [139] save,600 [139] 600,families [139] families,#dengue [139] #malaria,#disease Top Word Pairs in Tweet in G7:
[71] #malaria,breakthrough [67] drugs,derived [64] breakthrough,scientists [64] scientists,find [64] find,highly [64] highly,effective [64] effective,way [64] way,kill [64] kill,parasite [63] parasite,drugs Top Word Pairs in Tweet in G8:
[64] व,स [47] one,#malaria [47] #malaria,bite [47] bite,infected [47] infected,female [47] female,anopheles [47] anopheles,mosquito [47] mosquito,parasites [47] parasites,enter [47] enter,person Top Word Pairs in Tweet in G9:
[11] #dengue,#malaria [8] serpentine,queues [8] queues,patients [8] patients,attendants [8] attendants,fever [8] fever,hospital [8] hospital,#hyderabad [8] #hyderabad,out [8] out,patient [8] patient,registrations Top Word Pairs in Tweet in G10:
[40] modificados,genéticamente [39] mosquitos,modificados [21] genéticamente,combatir [21] combatir,#malaria [21] #malaria,#burkinafaso [21] #burkinafaso,entresijos [21] entresijos,iniciativa [21] iniciativa,científica [20] naranjo_p,mosquitos [20] científica,t Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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