The graph represents a network of 730 Twitter users whose recent tweets contained "https://techcrunch.com/2022/04/18/web-scraping-legal-court/", 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, 19 April 2022 at 09:53 UTC.
The tweets in the network were tweeted over the 14-hour, 16-minute period from Monday, 18 April 2022 at 19:17 UTC to Tuesday, 19 April 2022 at 09:34 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 : 730
Unique Edges : 790
Edges With Duplicates : 15
Total Edges : 805
Number of Edge Types : 5
Retweet : 411
Tweet : 289
Mentions : 49
MentionsInRetweet : 52
Replies to : 4
Self-Loops : 289
Reciprocated Vertex Pair Ratio : 0.00194552529182879
Reciprocated Edge Ratio : 0.00388349514563107
Connected Components : 278
Single-Vertex Connected Components : 233
Maximum Vertices in a Connected Component : 253
Maximum Edges in a Connected Component : 325
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.091662
Graph Density : 0.00096773587387489
Modularity : 0.713936
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 730 Twitter users whose recent tweets contained "https://techcrunch.com/2022/04/18/web-scraping-legal-court/", 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, 19 April 2022 at 09:53 UTC.
The tweets in the network were tweeted over the 14-hour, 16-minute period from Monday, 18 April 2022 at 19:17 UTC to Tuesday, 19 April 2022 at 09:34 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 : https://techcrunch.com/2022/04/18/web-scraping-legal-court/
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:
[345] appeals,court [343] web,scraping [313] scraping,legal [313] court,reaffirms [312] legal,appeals [208] publicly,accessible [139] scraping,publicly [137] accessible,data [116] ninth,circuit [107] techcrunch,part Top Word Pairs in Tweet in G1:
[107] techcrunch,part [107] part,yahoo [107] yahoo,family [107] family,brands [105] brands,see [105] see,more [82] web,scraping [82] appeals,court [81] top,story [76] story,techcrunch Top Word Pairs in Tweet in G2:
[111] publicly,accessible [99] ninth,circuit [99] circuit,found [99] found,second [99] second,time [99] time,scraping [99] scraping,publicly [99] accessible,data [99] data,web [99] web,violation Top Word Pairs in Tweet in G3:
[56] appeals,court [33] court,reaffirms [32] legal,appeals [26] web,scraping [25] scraping,legal [24] scraping,publicly [24] publicly,accessible [23] accessible,data [22] court,ruled [22] ruled,scraping Top Word Pairs in Tweet in G4:
[48] web,scraping [48] scraping,legal [48] legal,appeals [48] appeals,court [48] court,reaffirms [48] reaffirms,major [48] major,win [48] win,archivists [48] archivists,academics [48] academics,researchers Top Word Pairs in Tweet in G5:
[34] good,news [34] news,researchers [34] researchers,web [34] web,scraping [34] scraping,legal [34] legal,appeals [34] appeals,court [34] court,reaffirms Top Word Pairs in Tweet in G6:
[24] web,scraping [24] scraping,legal [15] concept,without [15] without,authorization [15] authorization,apply [15] apply,public [15] public,websites [15] websites,9th [15] 9th,circuit [15] circuit,declaring Top Word Pairs in Tweet in G7:
[23] web,scraping [23] scraping,legal [23] legal,appeals [23] appeals,court [23] court,reaffirms Top Word Pairs in Tweet in G8:
[14] down,web [14] web,server [7] super,interesting [7] interesting,court [7] court,case [7] case,badly [7] badly,behaved [7] behaved,scraper [7] scraper,take [7] take,down Top Word Pairs in Tweet in G9:
[17] web,scraping [17] scraping,legal [17] legal,appeals [17] appeals,court [17] court,reaffirms [17] reaffirms,techcrunch Top Word Pairs in Tweet in G10:
[15] ve,before [15] before,ll [15] ll,again [15] again,scraping [15] scraping,crime Top Replied-To in Entire Graph:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G6:
Top Mentioned in G8:
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: