The graph represents a network of 6,254 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, 12 August 2022 at 14:14 UTC.
The requested start date was Friday, 12 August 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, 7-hour, 3-minute period from Tuesday, 09 August 2022 at 05:02 UTC to Thursday, 11 August 2022 at 12:06 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 : 6254
Unique Edges : 3464
Edges With Duplicates : 14781
Total Edges : 18245
Number of Edge Types : 5
Retweet : 6233
MentionsInRetweet : 8694
Tweet : 665
Replies to : 670
Mentions : 1983
Self-Loops : 705
Reciprocated Vertex Pair Ratio : 0.0072019778566054
Reciprocated Edge Ratio : 0.0143009605122732
Connected Components : 854
Single-Vertex Connected Components : 268
Maximum Vertices in a Connected Component : 2123
Maximum Edges in a Connected Component : 9048
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.761166
Graph Density : 0.000239603570394941
Modularity : 0.463264
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 6,254 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, 12 August 2022 at 14:14 UTC.
The requested start date was Friday, 12 August 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, 7-hour, 3-minute period from Tuesday, 09 August 2022 at 05:02 UTC to Thursday, 11 August 2022 at 12:06 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:
[1919] lal,singh [1745] tigrayan,refugees [1740] sadly,usual [1722] refugees,sudan [1722] sudan,well [1694] usual,life [1694] life,tigrayan [1670] well,idk [1670] idk,re [1660] re,handling Top Word Pairs in Tweet in G1:
[931] pakistani,army [928] amir,khan [926] lal,singh [926] singh,chaddha [926] army,man [925] scene,lal [925] chaddha,pakistani [925] man,tells [925] tells,amir [925] khan,offers Top Word Pairs in Tweet in G2:
[1745] tigrayan,refugees [1740] sadly,usual [1722] refugees,sudan [1722] sudan,well [1694] usual,life [1694] life,tigrayan [1670] well,idk [1670] idk,re [1660] re,handling [1660] handling,diseases Top Word Pairs in Tweet in G3:
[827] lal,singh [450] singh,chaddha [406] scene,lal [406] chaddha,pakistani [362] pakistani,offering [362] offering,namaj [362] namaj,asks [362] asks,pooja [362] pooja,lal [362] singh,replies Top Word Pairs in Tweet in G4:
[196] pakistani,read [191] #lalsinghchadha,pakistani [190] read,namaz [190] namaz,times [190] times,day [189] shocking,#lalsinghchadha [189] day,#aamirkhan [189] #aamirkhan,replies [187] pooja,paath [185] indian_analyzer,shocking Top Word Pairs in Tweet in G5:
[13] infectious,diseases [11] climate,hazards [11] dange,hote [9] covid,19 [9] lal,singh [8] more,half [8] malaria,failta [8] failta,hai [8] hindu,pujapaath [7] including,malaria Top Word Pairs in Tweet in G6:
[74] malaria,drugs [73] nigerian,goes [73] goes,hospital [73] hospital,sickness [73] sickness,very [73] very,serious [73] serious,person [73] person,rich [73] rich,malaria [72] valentinah_e,nigerian Top Word Pairs in Tweet in G7:
[15] due,improved [15] improved,health [15] health,systems [15] systems,better [15] better,essential [15] essential,health [15] health,services [15] services,#africans [15] #africans,living [15] living,longer Top Word Pairs in Tweet in G8:
[137] pooja,paath [131] malaria,failta [130] dialogue,pooja [130] paath,karne [130] karne,malaria [127] #laalsinghchaddha,dialogue [126] aamir,khan [120] khan,movie [120] movie,#laalsinghchaddha [118] shashank_ssj,ani Top Word Pairs in Tweet in G9:
[121] ment,malaria [112] housemates,tongue [112] tongue,kiss [112] kiss,suck [112] suck,lips [112] lips,under [112] under,days [112] days,bella [112] bella,sheggz [112] sheggz,weeks Top Word Pairs in Tweet in G10:
[67] #laalsinghchaddha,movie [67] movie,#aamirkhan [67] #aamirkhan,helped [67] helped,pakistani [67] pakistani,terrorist [67] terrorist,officer [67] officer,pakistani [59] pakistani,read [58] read,namaz [32] namaz,times Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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: