The graph represents a network of 8,254 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, 09 December 2022 at 15:16 UTC.
The requested start date was Friday, 09 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 2-day, 11-hour, 42-minute period from Tuesday, 06 December 2022 at 00:23 UTC to Thursday, 08 December 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 : 8254
Unique Edges : 3977
Edges With Duplicates : 11545
Total Edges : 15522
Number of Edge Types : 5
Retweet : 5263
MentionsInRetweet : 5834
Tweet : 1041
Mentions : 2207
Replies to : 1177
Self-Loops : 1085
Reciprocated Vertex Pair Ratio : 0.0132044329167649
Reciprocated Edge Ratio : 0.026064696299744
Connected Components : 1374
Single-Vertex Connected Components : 539
Maximum Vertices in a Connected Component : 1266
Maximum Edges in a Connected Component : 4093
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 4.556845
Graph Density : 0.000126159232916632
Modularity : 0.556763
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,254 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, 09 December 2022 at 15:16 UTC.
The requested start date was Friday, 09 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 2-day, 11-hour, 42-minute period from Tuesday, 06 December 2022 at 00:23 UTC to Thursday, 08 December 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:
[897] crianças,yanomami [881] situação,crianças [881] kataroa,região [881] crianças,estão [881] alegre,crianças [881] surucucu,município [881] região,surucucu [881] yanomami,kataroa [881] alto,alegre [881] município,alto Top Word Pairs in Tweet in G1:
[892] crianças,yanomami [876] alegre,crianças [876] crianças,estão [876] alto,alegre [876] região,surucucu [876] surucucu,município [876] município,alto [876] situação,crianças [876] estão,desnutrição [876] yanomami,kataroa Top Word Pairs in Tweet in G2:
[25] against,malaria [22] malaria,deaths [18] malaria,consortium [15] स,थ [15] 63,000 [14] covid,19 [13] field,assistant [11] malaria,cases [11] 000,more [11] disruption,resulted Top Word Pairs in Tweet in G3:
[469] echo,chamber [466] chamber,repeating [461] data,trained [461] trained,trained [461] repeating,data [460] chatbot,echo [460] chatgpt,text [460] ai,chatbot [460] trained,chatgpt [460] johndcook,ai Top Word Pairs in Tweet in G4:
[483] poder,85 [483] chavismo,llegó [483] empresas,privadas [483] llegó,poder [483] privadas,cerrado [483] cerrado,millones [483] 85,empresas [483] 24,chavismo [483] millones,venezolanos [482] krlozgalindz,24 Top Word Pairs in Tweet in G5:
[24] malaria,report [24] world,malaria [24] 2020,2021 [24] #malaria,cases [23] 2019,2020 [23] between,2020 [23] #hiv,#tuberculosis [23] period,2019 [23] continued,rise [23] slower,rate Top Word Pairs in Tweet in G6:
[371] pandemic,africa [371] africa,large [371] covid,pandemic [371] malnourished,weakened [371] populations,africa [371] africa,populations [371] large,malnourished [371] weakened,due [370] yardleyshooting,covid [2] call,sunday Top Word Pairs in Tweet in G7:
[767] mizan,teferi [767] teferi,ethiopia [767] ethiopia,died [767] tigrayans,crammed [767] prison,mizan [767] cells,prison [767] 000,tigrayans [755] tesfaye,000 [696] 12,cells [696] crammed,12 Top Word Pairs in Tweet in G8:
[23] global,malaria [23] malaria,coordinator [20] coordinator,drdavidwalton [15] met,wizara_afyatz [15] week,met [15] tanzania,week [15] wa,malaria [15] drdavidwalton,tanzania [13] community,health [13] health,workers Top Word Pairs in Tweet in G9:
[94] #missionbhagiratha,stands [94] vector,borne [94] reducing,water [94] successfully,reducing [94] scheme,#missionbhagiratha [94] stands,tall [94] water,vector [94] aids,successfully [94] flagship,scheme [94] tall,aids Top Word Pairs in Tweet in G10:
[145] public,health [145] antibody,drug [143] good,news [142] preventing,malaria [142] health,win [142] effective,preventing [142] alecstapp,good [142] day,antibody [142] malaria,huge [142] news,day Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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: