The graph represents a network of 11,897 Twitter users whose recent tweets contained "(datascience OR dataviz) (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR ncov19 OR ncov2019 OR cov-2 OR sars-cov)", 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, 23 March 2020 at 16:35 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 39-minute period from Sunday, 15 March 2020 at 12:30 UTC to Monday, 23 March 2020 at 15:10 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 : 11897
Unique Edges : 17359
Edges With Duplicates : 4865
Total Edges : 22224
Number of Edge Types : 5
Retweet : 8589
Tweet : 2507
Replies to : 259
MentionsInRetweet : 8784
Mentions : 2085
Self-Loops : 2585
Reciprocated Vertex Pair Ratio : 0.00798740671641791
Reciprocated Edge Ratio : 0.0158482271964833
Connected Components : 985
Single-Vertex Connected Components : 609
Maximum Vertices in a Connected Component : 9864
Maximum Edges in a Connected Component : 19876
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.406147
Graph Density : 0.000122160684408467
Modularity : 0.683519
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 11,897 Twitter users whose recent tweets contained "(datascience OR dataviz) (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR ncov19 OR ncov2019 OR cov-2 OR sars-cov)", 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, 23 March 2020 at 16:35 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 39-minute period from Sunday, 15 March 2020 at 12:30 UTC to Monday, 23 March 2020 at 15:10 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 : (datascience OR dataviz) (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR ncov19 OR ncov2019 OR cov-2 OR sars-cov)
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3363] covid,19 [1541] gt,gt [833] #bigdata,#analytics [808] #analytics,#datascience [807] good,morning [800] #datascience,#ai [799] dataviz,day [798] talking,coronavirus [797] morning,know [797] know,day Top Word Pairs in Tweet in G1:
[1028] covid,19 [524] gt,gt [458] #datascience,#machinelearning [379] #ai,#datascience [326] #bigdata,#analytics [300] artificial,intelligence [271] #analytics,#datascience [270] #ai,#machinelearning [269] #machinelearning,#bigdata [263] #bigdata,#datascience Top Word Pairs in Tweet in G2:
[796] good,morning [796] morning,know [796] know,day [796] day,dataviz [796] dataviz,day [796] day,sadly [796] sadly,still [796] still,talking [796] talking,coronavirus [796] coronavirus,seen Top Word Pairs in Tweet in G3:
[933] gt,gt [166] covid,19 [155] mikequindazzi,gt [123] #covid19,#dataviz [102] #healthtech,#datascience [99] 10,impacts [99] impacts,#covid19 [99] #covid19,#emergingtech [99] #ai,#bigdata [99] #bigdata,#cloudcomputing Top Word Pairs in Tweet in G4:
[421] #dataviz,specialist [420] epidemiologist,#dataviz [420] specialist,thoughts [420] thoughts,coronavirus [420] coronavirus,log [420] log,scales [417] outbreak,phase [417] phase,virus [417] virus,spreads [417] spreads,exponentially Top Word Pairs in Tweet in G5:
[99] covid,19 [26] data,science [25] #covid19,#datascience [23] #coronavirus,#datascience [22] #covid19,#coronavirus [19] #coronavirus,#covid19 [16] #datascience,#coronavirus [15] #dataviz,#covid19 [15] #covid19,#dataviz [15] flatten,curve Top Word Pairs in Tweet in G6:
[218] tonight,asked [218] asked,professions [218] professions,greatest [218] greatest,risk [218] risk,contacting [218] contacting,coronavirus [218] coronavirus,guessed [218] guessed,flight [218] flight,attendants [218] attendants,guessed Top Word Pairs in Tweet in G7:
[485] #python,#rstats [475] #coding,#100daysofcode [470] #programming,#coding [467] covid,19 [463] #cloudcomputing,#serverless [459] #javascript,#reactjs [452] #analytics,#datascience [443] #bigdata,#analytics [441] #machinelearning,#iot [436] #iot,#iiot Top Word Pairs in Tweet in G8:
[274] #coronavirus,fälle [229] alle,#coronavirus [229] fälle,allen [229] allen,deutschen [229] deutschen,landkreisen [217] #ddj,#dataviz [176] die,aktuellsten [176] zusammen,risklayer [176] risklayer,kit [131] landkreisen,bundesländern Top Word Pairs in Tweet in G9:
[323] #artificialintelligence,#datascience [320] x,ray [320] ray,images [320] #deeplearning,#python [320] #python,#machinelearning [320] #machinelearning,#artificialintelligence [319] detecting,#covid19 [319] #covid19,x [319] images,#keras [319] #keras,#tensorflow Top Word Pairs in Tweet in G10:
[130] south,korea [128] death,rate [107] #coronavirus,#dataviz [68] interesting,way [68] way,communicate [68] communicate,relative [68] relative,mortality [68] mortality,risk [68] risk,presented [68] presented,#covid19 Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: