The graph represents a network of 448 Twitter users whose recent tweets contained "#TechSEOBoost", 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 Thursday, 05 December 2019 at 16:23 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 47-minute period from Tuesday, 26 November 2019 at 13:34 UTC to Thursday, 05 December 2019 at 16:21 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 : 448
Unique Edges : 1176
Edges With Duplicates : 873
Total Edges : 2049
Self-Loops : 227
Reciprocated Vertex Pair Ratio : 0.0539291217257319
Reciprocated Edge Ratio : 0.10233918128655
Connected Components : 23
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 422
Maximum Edges in a Connected Component : 2023
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.697493
Graph Density : 0.00683125599232982
Modularity : 0.324019
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 448 Twitter users whose recent tweets contained "#TechSEOBoost", 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 Thursday, 05 December 2019 at 16:23 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 47-minute period from Tuesday, 26 November 2019 at 13:34 UTC to Thursday, 05 December 2019 at 16:21 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 : #TechSEOBoost
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[83] google,sheets [71] thank,#techseoboost [71] #techseoboost,amazing [71] amazing,fighto [71] fighto,having [71] having,slides [71] slides,code [71] code,linked [71] linked,here [65] google,app Top Word Pairs in Tweet in G1:
[48] thank,#techseoboost [48] #techseoboost,amazing [48] amazing,fighto [48] fighto,having [48] having,slides [48] slides,code [48] code,linked [48] linked,here [35] google,sheets [27] dsottimano,#techseoboost Top Word Pairs in Tweet in G2:
[24] google,app [19] web,rendering [19] g33konaut,#techseoboost [18] app,scripts [18] #techseoboost,g33konaut [18] shipping,up [18] up,boston [18] boston,whoa [18] whoa,shipping [17] stop,words Top Word Pairs in Tweet in G3:
[8] g33konaut,#techseoboost [6] google,sheets [5] today,#techseoboost [4] testing,tools [4] presentation,g33konaut [4] don,t [4] notes,google [4] activity,bias [4] rendering,google [4] #techseoboost,#seo Top Word Pairs in Tweet in G4:
[11] boston,#techseoboost [9] #techseoboost,december [9] make,#techseoboost [8] catalystsem,#techseoboost [8] december,4th [8] cto,jetoctopus [8] jetoctopus,crawler [8] crawler,log [8] log,analyzer [7] meet,sergebezborodov Top Word Pairs in Tweet in G5:
[21] bias,web [16] web,#techseoboost [16] #techseoboost,polarbearby [13] polarbearby,#techseoboost [13] activity,bias [9] make,#techseoboost [9] t,make [9] make,person [9] live,streaming [8] bias,search Top Word Pairs in Tweet in G6:
[24] notes,google [20] google,app [18] google,sheets [17] app,scripting [17] scripting,automating [17] automating,seo [17] seo,tasks [17] tasks,dsottimano [17] dsottimano,scrape [17] scrape,google Top Word Pairs in Tweet in G7:
[3] 2,twitter [3] twitter,users [3] users,tweet [3] tweet,one [3] one,per [3] per,day [3] day,thanks [3] thanks,big [3] big,ego [3] ego,effect Top Word Pairs in Tweet in G8:
[2] #techseoboost,want [2] #technology,#techseoboost [2] #technews,#techseoboost [2] #techseoboost,boston [2] seo,fighto [2] fighto,re [2] re,tuning [2] tuning,#techseoboost [2] #techseoboost,re [2] re,missing Top Word Pairs in Tweet in G9:
[2] 5,excellent [2] excellent,websites [2] websites,checking [2] checking,google [2] google,keyword [2] keyword,rankings [2] rankings,link [2] link,#website [2] #website,#rank [2] #rank,#webrank Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
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 G6:
Top Mentioned in G7:
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: