The graph represents a network of 2,705 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 October 2020 at 03:12 UTC.
The requested start date was Monday, 05 October 2020 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 13-day, 13-hour, 37-minute period from Monday, 21 September 2020 at 02:15 UTC to Sunday, 04 October 2020 at 15:52 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 : 2705
Unique Edges : 2534
Edges With Duplicates : 4368
Total Edges : 6902
Number of Edge Types : 5
Tweet : 689
Retweet : 1870
MentionsInRetweet : 3099
Mentions : 1131
Replies to : 113
Self-Loops : 730
Reciprocated Vertex Pair Ratio : 0.0364341085271318
Reciprocated Edge Ratio : 0.0703066566940913
Connected Components : 437
Single-Vertex Connected Components : 201
Maximum Vertices in a Connected Component : 1521
Maximum Edges in a Connected Component : 4933
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.198292
Graph Density : 0.000548376335735926
Modularity : 0.523198
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,705 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 October 2020 at 03:12 UTC.
The requested start date was Monday, 05 October 2020 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 13-day, 13-hour, 37-minute period from Monday, 21 September 2020 at 02:15 UTC to Sunday, 04 October 2020 at 15:52 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:
[87] against,#malaria [80] fight,against [70] #malaria,#dengue [69] #seharilagi,#otaklupa [67] #otaklupa,#cibayamabestmedicine [67] #cibayamabestmedicine,#covid19 [67] #covid19,#sopakkusta [67] #sopakkusta,#biawakbiomedicmsn [67] #biawakbiomedicmsn,#malaria [67] #malaria,#seksdanpaduantasbih Top Word Pairs in Tweet in G1:
[55] indirect,effects [39] effects,#covid19 [39] #covid19,#malaria [38] #pandemic,#malaria [36] #covid,19 [35] congratulations,map [35] map,malariaatlas [35] malariaatlas,gmp [35] gmp,indirect [35] effects,#covid Top Word Pairs in Tweet in G2:
[33] #seharilagi,#otaklupa [33] #otaklupa,#cibayamabestmedicine [33] #cibayamabestmedicine,#covid19 [33] #covid19,#sopakkusta [33] #sopakkusta,#biawakbiomedicmsn [33] #biawakbiomedicmsn,#malaria [33] #malaria,#seksdanpaduantasbih [33] #seksdanpaduantasbih,#bmw [33] #bmw,#kesembuhankemaluanlelakidanwanita [33] #kesembuhankemaluanlelakidanwanita,#alquran Top Word Pairs in Tweet in G3:
[26] fight,against [26] against,#malaria [16] fact,sheet [15] mosquito,net [15] investments,#malaria [14] context,#covid19 [14] #covid19,continued [14] continued,investments [14] #malaria,help [14] help,pandemic Top Word Pairs in Tweet in G4:
[33] interested,molecular [33] molecular,#parasitology [33] #parasitology,two [33] two,open [33] open,#phd [33] #phd,positions [33] positions,group [33] group,related [33] related,exploring [33] exploring,gene Top Word Pairs in Tweet in G5:
[51] #tb,#malaria [29] #malaria,#dengue [28] thk,globalfund [28] globalfund,ed [28] ed,peterasands [28] peterasands,visit [28] visit,agree [28] agree,measure [28] measure,success [28] #bitekomatlolite,#endmalaria Top Word Pairs in Tweet in G6:
[21] crispr,based [13] complex,inhibitors [13] inhibitors,susceptible [13] susceptible,cross [13] cross,resistance [13] based,#malaria [12] paper,showing [12] showing,complex [12] resistance,mozzie [12] mozzie,pyrethroid Top Word Pairs in Tweet in G7:
[21] congratulations,dr [21] dr,alfred [21] alfred,amambua [21] amambua,ngwa [21] ngwa,awarded [21] awarded,edctp [21] edctp,senior [21] senior,fellowship [21] fellowship,plus [21] plus,focus Top Word Pairs in Tweet in G8:
[22] months,react [22] react,invasive [22] mosquito,thrives [19] urban,areas [13] africa,months [13] invasive,#malaria [13] #malaria,mosquito [13] thrives,urban [13] areas,before [13] before,situation Top Word Pairs in Tweet in G9:
[5] against,#malaria [5] #malaria,paludismolosar [5] nuestra,premiada [5] premiada,pilarmateoh [5] pilarmateoh,difunde [5] difunde,talento [5] talento,medios [5] medios,extremeños [5] extremeños,charo_calvo [5] day37,scicling Top Word Pairs in Tweet in G10:
[9] vielen,dank [8] 120,jahre [8] jahre,alt [8] alt,relevant [8] relevant,eh [8] eh,herzlichen [8] herzlichen,glückwunsch [8] glückwunsch,bnitm_de [8] bnitm_de,vielen [8] dank,eure Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
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: