The graph represents a network of 2,898 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, 05 December 2022 at 05:19 UTC.
The requested start date was Monday, 05 December 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 13-day, 4-hour, 50-minute period from Monday, 21 November 2022 at 05:29 UTC to Sunday, 04 December 2022 at 10:20 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 : 2898
Unique Edges : 1653
Edges With Duplicates : 5538
Total Edges : 7191
Number of Edge Types : 5
Retweet : 2443
MentionsInRetweet : 3156
Tweet : 525
Mentions : 942
Replies to : 125
Self-Loops : 589
Reciprocated Vertex Pair Ratio : 0.0266893810335037
Reciprocated Edge Ratio : 0.0519911504424779
Connected Components : 318
Single-Vertex Connected Components : 149
Maximum Vertices in a Connected Component : 1175
Maximum Edges in a Connected Component : 3776
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.332583
Graph Density : 0.000430706618517097
Modularity : 0.462273
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,898 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, 05 December 2022 at 05:19 UTC.
The requested start date was Monday, 05 December 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 13-day, 4-hour, 50-minute period from Monday, 21 November 2022 at 05:29 UTC to Sunday, 04 December 2022 at 10:20 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:
[631] #cartoonnetwork,#malaria [631] #thegrimadventuresofbillyandmandy,#cartoonnetwork [631] #malaria,#90sanimestyle [630] brennimurasaki,#thegrimadventuresofbillyandmandy [281] र,य [223] त,सगढ [216] श,र [215] छत,त [174] अभ,य [169] क,स Top Word Pairs in Tweet in G1:
[631] #cartoonnetwork,#malaria [631] #thegrimadventuresofbillyandmandy,#cartoonnetwork [631] #malaria,#90sanimestyle [630] brennimurasaki,#thegrimadventuresofbillyandmandy Top Word Pairs in Tweet in G2:
[32] mosquitoes,survive [31] wrote,piece [31] dried,alive [31] survive,months [31] alive,mosquitoes [31] months,mafaldasviana [31] mafaldasviana,wrote [30] pyronaridine,artesunate [30] piece,tren [30] baldini_fra,dried Top Word Pairs in Tweet in G3:
[27] #malaria,pill [27] take,#malaria [14] forget,take [13] remember,take [13] pill,hope [12] #dengue,#malaria [9] against,#malaria [7] 15,days [7] fever,headache [7] chills,usually Top Word Pairs in Tweet in G4:
[136] #cop27,#covid19 [136] #unicef,#endpolio [136] #endpolio,#women [134] #covid19,#vaccines [132] #evaw,#letmelearn [132] #vaccines,#evaw [130] #menstruationmatter,#cop27 [130] #women,#menstruationmatter [120] #letmelearn,#foreverychild [105] #foreverychild,#onmymind Top Word Pairs in Tweet in G5:
[12] #hiv,#malaria [12] nhmrc,synergy [11] balderdash,#pandemics [11] begging,uk [11] #pandemics,#climatechange [11] #malaria,#development [11] uk,balderdash [11] #climatechange,#hiv [11] world,begging [10] laurie_garrett,world Top Word Pairs in Tweet in G6:
[21] #tb,#malaria [18] #hiv,#tb [11] malaria,treatment [11] came,uganda [11] brought,free [11] treatment,hospitals [11] free,malaria [11] globalfund,came [11] uganda,brought [11] remember,globalfund Top Word Pairs in Tweet in G7:
[3] african,beware [3] irá,destinado [3] sweettina2,suits_ [3] recaudado,irá [3] destinado,mosquiteras [3] joekiddone,terminator_4 [3] crowdfunding,dinero [3] amazinggoa,fatwhiteman [3] suits_,joekiddone [3] terminator_4,amazinggoa Top Word Pairs in Tweet in G8:
[239] र,य [209] श,र [207] त,सगढ [207] छत,त [166] स,बर [166] द,स [166] अभ,य [163] क,स [122] मल,र [120] 2022,स Top Word Pairs in Tweet in G9:
[12] mosquito,nets [12] against,#malaria [11] fight,against [11] continuous,channels [11] channels,alternative [11] interested,distributing [11] alternative,mass [11] distributing,mosquito [11] #webinar,interested [11] nets,continuous Top Word Pairs in Tweet in G10:
[78] awareness,campaign [65] sensitize,citizens [59] citizens,segregation [59] waste,prevention [59] segregation,waste [44] mosquito,borne [42] prevention,mosquito [39] campaign,conducted [39] zonal,commissioner [39] officials,sensitize Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
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: