The graph represents a network of 8,491 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 Friday, 02 September 2022 at 14:15 UTC.
The requested start date was Friday, 02 September 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 2-day, 15-hour, 55-minute period from Tuesday, 30 August 2022 at 08:05 UTC to Friday, 02 September 2022 at 00:01 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 : 8491
Unique Edges : 5769
Edges With Duplicates : 10552
Total Edges : 16321
Number of Edge Types : 5
Mentions : 2820
Replies to : 1283
MentionsInRetweet : 6097
Retweet : 4713
Tweet : 1408
Self-Loops : 1470
Reciprocated Vertex Pair Ratio : 0.0132457462847297
Reciprocated Edge Ratio : 0.0261451801466681
Connected Components : 1771
Single-Vertex Connected Components : 664
Maximum Vertices in a Connected Component : 1805
Maximum Edges in a Connected Component : 5275
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.257224
Graph Density : 0.000130519961619446
Modularity : 0.579691
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,491 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 Friday, 02 September 2022 at 14:15 UTC.
The requested start date was Friday, 02 September 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 2-day, 15-hour, 55-minute period from Tuesday, 30 August 2022 at 08:05 UTC to Friday, 02 September 2022 at 00:01 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:
[750] arnoldo,gabaldón [496] contra,malaria [450] programa,contra [448] desarrolló,programa [430] venezolano,arnoldo [427] científico,venezolano [363] malaria,cual [362] gabaldón,desarrolló [339] cual,eliminó [336] #efeméride,científico Top Word Pairs in Tweet in G1:
[27] malaria,cases [26] dengue,malaria [25] contra,malaria [22] mosquito,nets [22] ment,malaria [20] h80,h80 [18] against,malaria [17] malaria,dengue [17] arnoldo,gabaldón [16] cx10,cx10 Top Word Pairs in Tweet in G2:
[119] tb,malaria [68] 18,billion [67] aids,tb [65] fight,against [58] hiv,tb [55] health,facilities [54] millions,people [54] people,#pakistan [54] #pakistan,dire [54] dire,need Top Word Pairs in Tweet in G3:
[486] arnoldo,gabaldón [356] contra,malaria [352] desarrolló,programa [349] programa,contra [346] científico,venezolano [346] venezolano,arnoldo [344] gabaldón,desarrolló [344] malaria,cual [321] cual,eliminó [320] #efeméride,científico Top Word Pairs in Tweet in G4:
[73] #malaria,transmission [44] transmission,patterns [44] patterns,evolving [44] evolving,tanzania [44] tanzania,find [44] find,ifakarahealth's [44] fredros,okumu [39] ifakarahealth's,fredros [38] lshtm,#malaria [38] okumu,discus Top Word Pairs in Tweet in G5:
[132] mosquito,lamp [129] save,yourself [128] yourself,stress [127] see,mosquito [127] lamp,steadily [127] steadily,catching [127] catching,mosquitoes [127] mosquitoes,protecting [127] protecting,malaria [127] malaria,take Top Word Pairs in Tweet in G6:
[221] huge,puss [221] puss,filled [221] filled,boil [221] boil,childs [221] childs,head [221] head,several [221] several,back [221] back,children [221] children,high [221] high,fever Top Word Pairs in Tweet in G7:
[152] arnoldo,gabaldón [90] contra,malaria [82] programa,contra [80] venezolano,arnoldo [79] desarrolló,programa [78] científico,venezolano [70] gabaldón,quien [66] #1sep,año [66] año,1990 [63] 1990,falleció Top Word Pairs in Tweet in G8:
[162] tb,malaria [148] aids,tb [87] save,20 [87] 20,million [76] million,lives [75] years,progress [75] progress,fight [75] fight,against [75] against,hiv [75] hiv,aids Top Word Pairs in Tweet in G9:
[96] covid,19 [91] paper,sdbaral [91] sdbaral,early [91] early,impact [91] impact,covid [91] 19,response [91] response,lmic [91] lmic,lead [91] lead,million [91] million,excess Top Word Pairs in Tweet in G10:
[63] female,anopheles [63] anopheles,mosquito [63] mosquito,transmit [63] transmit,malaria [63] malaria,women [62] krepublics2_,female [34] nairobi,mosquitoes [34] mosquitoes,celebrating [34] celebrating,manchester [34] manchester,united Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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: