The graph represents a network of 1,233 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, 14 November 2022 at 05:17 UTC.
The requested start date was Monday, 14 November 2022 at 01:01 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 3-day, 10-hour, 47-minute period from Monday, 31 October 2022 at 01:18 UTC to Thursday, 03 November 2022 at 12:05 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 : 1233
Unique Edges : 960
Edges With Duplicates : 2478
Total Edges : 3438
Number of Edge Types : 5
Retweet : 1081
MentionsInRetweet : 1591
Mentions : 462
Tweet : 281
Replies to : 23
Self-Loops : 292
Reciprocated Vertex Pair Ratio : 0.0447414294015107
Reciprocated Edge Ratio : 0.085650723025584
Connected Components : 131
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 910
Maximum Edges in a Connected Component : 2856
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.993563
Graph Density : 0.00118362983326487
Modularity : 0.461704
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 1,233 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, 14 November 2022 at 05:17 UTC.
The requested start date was Monday, 14 November 2022 at 01:01 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 3-day, 10-hour, 47-minute period from Monday, 31 October 2022 at 01:18 UTC to Thursday, 03 November 2022 at 12:05 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:
[86] astmh,#tropmed22 [76] life,threatening [75] transmitted,people [75] threatening,disease [73] people,mosquitoes [73] mosquitoes,few [73] disease,transmitted [73] years,people [73] people,living [73] living,malaria Top Word Pairs in Tweet in G1:
[13] antibody,drug [13] against,#malaria [12] #dengue,#malaria [11] fight,against [10] #malaria,outbreak [10] #malaria,pill [10] take,#malaria [9] annual,meeting [9] #climate,change [9] dwellers,ðÿœ Top Word Pairs in Tweet in G2:
[59] astmh,#tropmed22 [43] poster,session [40] session,check [40] nov,poster [30] mcdglobalhealth,nov [29] check,poster [18] astmh,annual [18] annual,meeting [15] presented,poster [13] attending,astmh Top Word Pairs in Tweet in G3:
[67] living,malaria [67] malaria,endemic [67] transmitted,people [67] few,years [67] disease,transmitted [67] #malaria,life [67] life,threatening [67] years,people [67] people,living [67] threatening,disease Top Word Pairs in Tweet in G4:
[15] ø,ø [5] against,#malaria [4] fight,against [4] ù,ø [3] malaria,pf [3] prevents,#malaria [3] antigen,rapid [3] monoclonal,antibody [3] û,ø [3] malaria,#malaria Top Word Pairs in Tweet in G5:
[15] monoclonal,antibody [13] #malaria,infection [10] parasites,spreading [10] non,pregnant [10] malaria,parasites [10] antibody,safely [10] safely,protected [10] spreading,african [10] dose,monoclonal [10] african,cities Top Word Pairs in Tweet in G6:
[7] #malaria,#tuberculosis [5] sociedad,civil [5] globalfund,responder [5] donaciã,globalfund [5] responder,asã [5] agradecemos,gobierno [4] over,next [4] #tuberculosis,#vih [4] next,years [4] asked,8bn Top Word Pairs in Tweet in G7:
[8] astmh,#tropmed22 [6] malaria,vector [6] mesa,symposium [6] vector,surveillance [5] biology,mosquito [5] using,mrna [5] receive,funding [5] training,#malaria [5] victorian,government [5] seattle,astmh Top Word Pairs in Tweet in G8:
[17] #women,#menstruationmatter [17] #transformingeducation,#bolemia [17] #vaccines,#letmelearn [17] #menstruationmatter,#cop27 [17] #unicef,#endpolio [17] #cop27,#transformingeducation [17] #endpolio,#women [17] #bolemia,#covid19 [17] #covid19,#vaccines [15] #malaria,#clima Top Word Pairs in Tweet in G9:
[46] #ð,ÿð [23] prevents,malaria [23] ÿð,ª37 [23] malaria,#malaria [23] antibody,prevents [23] study,found [23] #treatment,#ð [23] ÿð,ª1 [23] #malaria,#antibody [23] found,antibody Top Word Pairs in Tweet in G10:
[19] 80,compared [19] one,year [19] reports,#malaria [19] compared,one [19] #malaria,cases [19] #tigray,region [19] health,organisation [19] region,80 [19] world,health [19] #ethiopiaâ,#tigray Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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: