The graph represents a network of 4,070 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, 10 August 2020 at 03:13 UTC.
The requested start date was Monday, 10 August 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, 12-hour, 41-minute period from Monday, 27 July 2020 at 00:57 UTC to Sunday, 09 August 2020 at 13:39 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 : 4070
Unique Edges : 2342
Edges With Duplicates : 7091
Total Edges : 9433
Number of Edge Types : 5
Tweet : 700
Retweet : 3131
MentionsInRetweet : 4139
Replies to : 136
Mentions : 1327
Self-Loops : 750
Reciprocated Vertex Pair Ratio : 0.0160642570281124
Reciprocated Edge Ratio : 0.0316205533596838
Connected Components : 490
Single-Vertex Connected Components : 243
Maximum Vertices in a Connected Component : 2712
Maximum Edges in a Connected Component : 7416
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.424963
Graph Density : 0.000305540241642478
Modularity : 0.503683
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 4,070 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, 10 August 2020 at 03:13 UTC.
The requested start date was Monday, 10 August 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, 12-hour, 41-minute period from Monday, 27 July 2020 at 00:57 UTC to Sunday, 09 August 2020 at 13:39 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:
[471] apoorva_nyc,read [442] read,rewteet [442] rewteet,one [442] one,articles [442] articles,one [442] one,horrifying [442] horrifying,pandemic [442] pandemic,#tuberculosis [439] #tuberculosis,#hivâ [197] ve,eyes Top Word Pairs in Tweet in G1:
[459] apoorva_nyc,read [431] read,rewteet [431] rewteet,one [431] one,articles [431] articles,one [431] one,horrifying [431] horrifying,pandemic [431] pandemic,#tuberculosis [429] #tuberculosis,#hivâ [191] ve,eyes Top Word Pairs in Tweet in G2:
[31] against,#malaria [26] #covid19,#malaria [26] paper,naturemedicine [24] #malaria,parasites [23] #malaria,rwanda [22] resistant,#malaria [21] fight,against [20] during,#covid19 [18] plasmodium,falciparum [17] #malaria,deaths Top Word Pairs in Tweet in G3:
[87] aside,#covid19 [87] #covid19,hydroxychloroquine [87] hydroxychloroquine,still [87] still,regarded [87] regarded,generally [87] generally,safe [87] safe,drug [87] drug,patients [87] patients,autoimmune [87] autoimmune,diseases Top Word Pairs in Tweet in G4:
[27] take,#malaria [27] #malaria,pill [15] #hiv,#malaria [14] covid,19 [14] forget,take [13] remember,take [13] pill,hope [11] parasite,'resistant [9] #dengue,#malaria [9] diseases,such Top Word Pairs in Tweet in G5:
[93] malaria,parasites [93] parasites,equatorial [93] equatorial,africa [93] africa,growing [93] growing,resistant [93] resistant,artemisinin [93] artemisinin,primary [93] primary,#malaria [93] #malaria,treatment [92] laurie_garrett,malaria Top Word Pairs in Tweet in G6:
[54] treatment,#malaria [53] diagnosis,treatment [53] #malaria,available [53] available,free [53] free,cost [53] cost,government [53] government,health [53] health,facilities [53] facilities,know [53] know,more Top Word Pairs in Tweet in G7:
[67] #tb,#malaria [53] #hiv,#tb [30] #covid19,threatens [30] against,#hiv [26] #bitekomatlolite,#endmalaria [25] #endmalaria,#malaria [25] threatens,fragile [25] fragile,gains [25] gains,against [24] #malaria,#dengue Top Word Pairs in Tweet in G8:
[24] reminder,happen [24] happen,neglect [24] neglect,work [24] work,against [24] against,three [24] three,big [24] big,infectious [24] infectious,disease [23] palonsomalaria,reminder [23] disease,kâ Top Word Pairs in Tweet in G9:
[63] #malaria,one [63] one,highest [63] highest,causes [63] causes,morbidity [63] morbidity,mortality [63] mortality,uganda [63] uganda,children [63] children,below [63] below,years [62] shemaenoch,#malaria Top Word Pairs in Tweet in G10:
[10] mms1,chlorine [10] chlorine,dioxide [10] #cancer,#malaria [9] cures,#cancer [9] hours,#ebola [8] similar,properties [8] #malaria,within [8] within,hours [6] jordan_sather_,mrbotus_520 [6] mrbotus_520,mms1 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G7:
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: