The graph represents a network of 214 Twitter users whose recent tweets contained "(#python OR networkx) (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, 15 September 2020 at 17:00 UTC.
The tweets in the network were tweeted over the 8-day, 16-hour, 12-minute period from Sunday, 06 September 2020 at 23:52 UTC to Tuesday, 15 September 2020 at 16:04 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 Fruchterman-Reingold layout algorithm.
Author Description
Vertices : 214
Unique Edges : 452
Edges With Duplicates : 207
Total Edges : 659
Number of Edge Types : 5
Tweet : 74
Retweet : 335
MentionsInRetweet : 231
Mentions : 18
Replies to : 1
Self-Loops : 79
Reciprocated Vertex Pair Ratio : 0,0368763557483731
Reciprocated Edge Ratio : 0,0711297071129707
Connected Components : 22
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 183
Maximum Edges in a Connected Component : 621
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3,900066
Graph Density : 0,0104865955859769
Modularity : 0,510386
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 214 Twitter users whose recent tweets contained "(#python OR networkx) (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, 15 September 2020 at 17:00 UTC.
The tweets in the network were tweeted over the 8-day, 16-hour, 12-minute period from Sunday, 06 September 2020 at 23:52 UTC to Tuesday, 15 September 2020 at 16:04 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 Fruchterman-Reingold layout algorithm.
Graph Source : TwitterSearch
Graph Term : (#python OR networkx) (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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[174] covid,19 [114] #python,#rstats [106] #javascript,#reactjs [91] #linux,#100daysofcode [88] is,an [80] #java,#javascript [78] to,use [69] an,imperative [69] imperative,to [69] use,#ai Top Word Pairs in Tweet in G1:
[80] #python,#rstats [80] #javascript,#reactjs [74] #linux,#100daysofcode [63] to,use [62] is,an [61] #java,#javascript [55] an,imperative [55] imperative,to [55] use,#ai [55] #ai,for Top Word Pairs in Tweet in G2:
[18] covid,19 [17] #python,#javascript [13] due,to [13] to,covid [13] 19,coursera [13] coursera,has [13] has,made [13] made,some [13] some,of [13] of,their Top Word Pairs in Tweet in G3:
[27] #cassandra,#kafka [27] #kafka,#hadoop [27] #hadoop,#spark [27] #nlp,#nosql [27] #nosql,#iot [27] #tensorflow,#serverless [27] #serverless,#kubernetes [27] #r,#python [27] #python,#datamining [26] #bigdata,#cassandra Top Word Pairs in Tweet in G4:
[19] job,searches [19] searches,in [19] in,artificial [19] artificial,intelligence [19] intelligence,rise [19] rise,106 [19] 106,in [19] in,one [19] one,year [19] year,by Top Word Pairs in Tweet in G5:
[29] covid,19 [20] #python,#rstats [16] #datascience,#machinelearning [14] #javascript,#reactjs [14] analyze,covid [14] 19,data [14] data,using [14] #machinelearning,#python [11] #cloudcomputing,#serverless [11] #linux,#100daysofcode Top Word Pairs in Tweet in G6:
[7] ドイツ,フランス [7] フランス,オランダ [7] オランダ,ロシアの死亡数 [7] ロシアの死亡数,感染ー回復数 [7] 感染ー回復数,のグラフを動画にしてみました [7] のグラフを動画にしてみました,縦軸を対数に [7] 縦軸を対数に,しつこく更新中 [7] しつこく更新中,pythonでpngを生成し [7] pythonでpngを生成し,ffmpegで動画化 [7] ffmpegで動画化,#感染数 Top Word Pairs in Tweet in G7:
[23] covid,19 [18] for,covid [17] latest,7 [17] 7,day [17] day,average [17] average,for [17] 19,in [17] in,england [17] #covid19,#python [17] #python,#pandas Top Word Pairs in Tweet in G8:
[13] is,an [13] covid,19 [13] #python,#javascript [12] this,is [12] an,updated [12] updated,version [12] version,of [12] of,my [12] my,first [12] first,python Top Word Pairs in Tweet in G9:
[8] covid,19 [7] #bigdata,#analytics [7] #python,#rstats [6] #datascience,#bigdata [6] #javascript,#reactjs [6] #iot,#linux [6] #machinelearning,#deeplearning [5] #serverless,#datascientist [5] #nlp,#nosql [5] #nosql,#iot Top Word Pairs in Tweet in G10:
[4] awesome,billboard [4] billboard,in [4] in,#siliconvalley [4] #siliconvalley,about [4] about,#covid__19 [4] #covid__19,that [4] that,s [4] s,why [4] why,we [4] we,launched Top Replied-To in Entire Graph:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G9:
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: