The graph represents a network of 18,141 Twitter users whose recent tweets contained "Africa virus", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 06 December 2021 at 00:29 UTC.
The tweets in the network were tweeted over the 3-day, 16-hour, 23-minute period from Thursday, 02 December 2021 at 07:29 UTC to Sunday, 05 December 2021 at 23:52 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 : 18141
Unique Edges : 23718
Edges With Duplicates : 1168
Total Edges : 24886
Number of Edge Types : 5
Retweet : 14920
MentionsInRetweet : 4628
Tweet : 1744
Replies to : 2070
Mentions : 1524
Self-Loops : 1806
Reciprocated Vertex Pair Ratio : 0.00315275310834814
Reciprocated Edge Ratio : 0.00628568899119118
Connected Components : 2066
Single-Vertex Connected Components : 1005
Maximum Vertices in a Connected Component : 12858
Maximum Edges in a Connected Component : 19373
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.030424
Graph Density : 6.86494321979967E-05
Modularity : 0.813996
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 18,141 Twitter users whose recent tweets contained "Africa virus", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 06 December 2021 at 00:29 UTC.
The tweets in the network were tweeted over the 3-day, 16-hour, 23-minute period from Thursday, 02 December 2021 at 07:29 UTC to Sunday, 05 December 2021 at 23:52 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 : TwitterSearch
Graph Term : Africa virus
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:
[5350] virus,africa [4747] south,africa [3583] black,south [3389] south,african [2774] german,paper [2678] black,african [2675] picture,black [2672] mother,child [2670] paper,headline [2669] headline,loosely Top Word Pairs in Tweet in G1:
[2291] virus,africa [2271] picture,black [2271] african,mother [2271] mother,child [2270] told,german [2270] german,paper [2270] paper,headline [2270] headline,loosely [2270] loosely,translates [2270] translates,virus Top Word Pairs in Tweet in G2:
[2129] virus,africa [1405] black,south [1328] covid,19 [1288] headline,virus [1286] newspaper,rheinpfalz [1286] spanish,newspaper [1286] south,africans [1285] germany,newspaper [1285] rheinpfalz,headline [1285] newspaper,tribunaalbacete Top Word Pairs in Tweet in G3:
[2037] south,african [2031] black,south [2030] nonsense,virus [2030] virus,came [2030] came,africa [2030] africa,europe [2030] europe,being [2030] being,depicted [2030] depicted,black [2030] african,omicron Top Word Pairs in Tweet in G4:
[1037] south,africa [1002] next,time [1002] time,south [998] africa,see [998] see,disease [998] disease,shut [998] shut,big [998] big,mouth [998] mouth,china [998] china,lied Top Word Pairs in Tweet in G5:
[384] south,africa [108] omicron,variant [77] virus,variant [73] covid,19 [73] prior,infection [73] little,defense [73] defense,against [71] against,virus [70] infection,little [70] variant,scientists Top Word Pairs in Tweet in G6:
[368] south,africa [175] university,hospital [175] hospital,pretoria [175] pretoria,south [175] africa,tshwane [175] tshwane,global [175] global,epicentre [175] epicentre,#omicron [175] #omicron,outbreak [175] outbreak,exponential Top Word Pairs in Tweet in G7:
[417] south,african [417] african,doctor [417] doctor,discovered [417] discovered,omicron [417] omicron,virus [417] virus,world [417] world,gone [417] gone,absolutely [417] absolutely,bonkers [417] bonkers,nothing Top Word Pairs in Tweet in G8:
[302] south,african [300] omicron,variant [296] past,coronavirus [296] coronavirus,infection [296] infection,appears [296] appears,give [296] give,little [296] little,immunity [296] immunity,omicron [296] variant,rippling Top Word Pairs in Tweet in G9:
[146] virus,africa [97] covid,19 [89] headline,virus [87] chinese,virus [84] german,newspaper [84] same,people [83] newspaper,headline [83] africa,imagine [83] imagine,same [83] people,told Top Word Pairs in Tweet in G10:
[340] many,articles [340] articles,africa [340] africa,covid [340] covid,dying [340] dying,tone [340] tone,ion [340] ion,det [340] det,asking [340] asking,continent [340] continent,youngest Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: