The graph represents a network of 736 Twitter users whose recent tweets contained "#python (covid OR corona)", 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 Tuesday, 14 April 2020 at 21:56 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 6-minute period from Monday, 06 April 2020 at 23:29 UTC to Tuesday, 14 April 2020 at 21:36 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 : 738
Unique Edges : 1660
Edges With Duplicates : 10963
Total Edges : 12623
Number of Edge Types : 5
Mentions : 3845
Retweet : 933
Tweet : 226
Replies to : 249
MentionsInRetweet : 7370
Self-Loops : 231
Reciprocated Vertex Pair Ratio : 0,006546014632268
Reciprocated Edge Ratio : 0,0130068859984698
Connected Components : 79
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 560
Maximum Edges in a Connected Component : 12352
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3,678106
Graph Density : 0,00480597750346567
Modularity : 0,15887
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 736 Twitter users whose recent tweets contained "#python (covid OR corona)", 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 Tuesday, 14 April 2020 at 21:56 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 6-minute period from Monday, 06 April 2020 at 23:29 UTC to Tuesday, 14 April 2020 at 21:36 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 : #python (covid OR corona)
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:
[625] #iot,#iiot [583] #javascript,#reactjs [575] #coding,#100daysofcode [562] #programming,#coding [532] #100daysofcode,#healthtech [525] #python,#rstats [517] #cloudcomputing,#serverless [462] #iiot,#python [454] #rstats,#javascript [418] #reactjs,#cloudcomputing Top Word Pairs in Tweet in G1:
[345] #iot,#iiot [332] #javascript,#reactjs [331] #programming,#coding [330] #coding,#100daysofcode [313] #100daysofcode,#healthtech [311] #cloudcomputing,#serverless [310] #python,#rstats [270] #iiot,#python [270] #rstats,#javascript [256] #reactjs,#cloudcomputing Top Word Pairs in Tweet in G2:
[80] #iot,#iiot [78] #coding,#100daysofcode [76] #javascript,#reactjs [75] #programming,#coding [73] #100daysofcode,#healthtech [71] angelicagallegs,yukarikingdom18 [71] yukarikingdom18,mhall55nine [71] mhall55nine,eoff_sylvia [71] bperrionni,semicvet50 [71] semicvet50,brindusab1 Top Word Pairs in Tweet in G3:
[152] #ai,#ml [147] #vuejs,#rstats [146] angelicagallegs,yukarikingdom18 [146] yukarikingdom18,mhall55nine [146] mhall55nine,eoff_sylvia [146] bperrionni,semicvet50 [146] semicvet50,brindusab1 [146] brindusab1,ritacobix [146] ritacobix,papryka5 [146] dianadep1,gaiagaudenzi Top Word Pairs in Tweet in G4:
[87] covid,19 [60] #iot,#iiot [55] #datascience,#ai [53] #javascript,#reactjs [53] #coding,#100daysofcode [52] #programming,#coding [50] #python,#rstats [49] #iiot,#python [48] #100daysofcode,#healthtech [46] #rstats,#javascript Top Word Pairs in Tweet in G5:
[17] checkout,latest [17] latest,blogpost [17] blogpost,#epidemic [17] #epidemic,modeling [17] modeling,102 [17] 102,#covid19 [17] #covid19,models [17] models,wrong [17] wrong,useful [17] useful,checkout Top Word Pairs in Tweet in G6:
[19] covid,19 [5] stay,safe [5] machine,learning [4] time,covid [4] #covid19,#coronavirus [4] #python,#machinelearning [4] online,classes [4] upfront,payment [4] safe,covid_19 [4] covid_19,act Top Word Pairs in Tweet in G7:
[19] buen,proyecto [19] proyecto,#qgis [19] #qgis,#python [19] #python,aplicado [19] aplicado,codiv [19] codiv,19 [19] 19,ivan_deiros [19] ivan_deiros,disponible [19] disponible,github [19] github,qgis Top Word Pairs in Tweet in G8:
[12] rainy,easter [12] easter,sunday [12] sunday,posted [12] posted,#python [12] #python,coding [12] coding,blog [12] blog,replicate [12] replicate,recent [12] recent,bbcnews [12] bbcnews,#covid_19 Top Word Pairs in Tweet in G9:
[6] free,open [6] open,source [6] source,covid [6] covid,19 [6] 19,rest [6] rest,api [6] api,project [6] project,led [6] led,friend [6] friend,andreagrandi Top Word Pairs in Tweet in G10:
[6] inspired,opendatazurich [6] opendatazurich,giocassi1 [6] giocassi1,looking [6] looking,differences [6] differences,popular [6] popular,times [6] times,#sbb [6] #sbb,stations [6] stations,#coop [6] #coop,#migros Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 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: