The graph represents a network of 1,984 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, 24 January 2022 at 04:46 UTC.
The requested start date was Monday, 24 January 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 11-day, 10-hour, 14-minute period from Monday, 10 January 2022 at 01:18 UTC to Friday, 21 January 2022 at 11:32 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 : 1984
Unique Edges : 1452
Edges With Duplicates : 3346
Total Edges : 4798
Number of Edge Types : 5
Retweet : 1453
MentionsInRetweet : 2138
Mentions : 754
Tweet : 422
Replies to : 31
Self-Loops : 453
Reciprocated Vertex Pair Ratio : 0.0322834645669291
Reciprocated Edge Ratio : 0.0625476735316552
Connected Components : 279
Single-Vertex Connected Components : 132
Maximum Vertices in a Connected Component : 1006
Maximum Edges in a Connected Component : 2993
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.45905
Graph Density : 0.000666451124884095
Modularity : 0.517259
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,984 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, 24 January 2022 at 04:46 UTC.
The requested start date was Monday, 24 January 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 11-day, 10-hour, 14-minute period from Monday, 10 January 2022 at 01:18 UTC to Friday, 21 January 2022 at 11:32 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:
[204] #hiv,#malaria [197] #malaria,#tuberkulose [196] 40,mio [195] weltweit,verhungern [195] 30,40 [195] mio,menschen [195] menschen,mehr [183] #tuberkulose,#covid [183] #covid,zusammen [181] verhungern,jedes Top Word Pairs in Tweet in G1:
[25] end,malaria [23] malaria,councils [23] #malaria,control [22] united,states [20] #malaria,cases [19] covid,19 [18] #malaria,deaths [17] #malaria,community [17] domestic,resource [16] countries,africa Top Word Pairs in Tweet in G2:
[180] weltweit,verhungern [180] verhungern,jedes [180] jedes,jahr [180] jahr,knapp [180] knapp,30 [180] 30,40 [180] 40,mio [180] mio,menschen [180] menschen,mehr [180] mehr,#hiv Top Word Pairs in Tweet in G3:
[23] take,#malaria [23] #malaria,pill [12] forget,take [11] #dengue,#malaria [11] remember,take [11] pill,hope [5] covid,19 [5] #odomos,#odomosroundtheclock [5] #odomosroundtheclock,#diseases [5] #diseases,#bug Top Word Pairs in Tweet in G4:
[40] hello,twitter [40] twitter,fellow [40] fellow,#scientists [40] #scientists,kindly [40] kindly,make [40] make,date [40] date,friday [40] friday,webinar [40] webinar,discussing [40] discussing,#plasmodium Top Word Pairs in Tweet in G5:
[25] contra,#malaria [11] #malaria,#mosquirix [10] vacuna,contra [10] hemos,visto [10] visto,situ [10] situ,cómo [10] cómo,vacunación [10] vacunación,contra [10] #mosquirix,inmunización [10] inmunización,aprobada Top Word Pairs in Tweet in G6:
[40] more,people [40] #aids,#malaria [32] study,reveals [32] reveals,#amr [32] #amr,killing [32] killing,more [32] people,#hiv [32] #hiv,#aids [32] #malaria,deaths [32] deaths,occurring Top Word Pairs in Tweet in G7:
[4] #dengue,#malaria [4] kamlakar_shenoy,mybmcwardb [4] mybmcwardb,mybmchealthdept [4] mybmchealthdept,bjp4mumbai [4] bjp4mumbai,mumbaincp [4] mumbaincp,shivsenacomms [4] shivsenacomms,samajwadimah [3] #mumbai,vileparle [3] vileparle,azadnagar [3] azadnagar,पर Top Word Pairs in Tweet in G8:
[22] influencia,mutaciones [21] revisa,influencia [21] mutaciones,genéticas [15] investigación,centro [15] centro,nacional [15] nacional,medicina [15] medicina,tropical [15] tropical,#isciii [15] #isciii,revisa [14] #antibiotics,#urgences Top Word Pairs in Tweet in G9:
[16] looking,#datamanager [11] #datamanager,varied [11] varied,role [11] role,working [11] working,health [11] health,related [11] related,datasets [11] mera,india [10] iddonews,looking [9] datasets,emerging Top Word Pairs in Tweet in G10:
[20] #malaria,#tb [12] funding,gatesfoundation [11] wcairdundee,dundeeuni [11] dundeeuni,announces [11] announces,million [11] million,funding [11] gatesfoundation,support [11] support,#drugdiscovery [11] #drugdiscovery,#malaria [10] determine,relevance Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: