The graph represents a network of 91 Twitter users whose recent tweets contained "jeremyhl", 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, 06 January 2020 at 21:35 UTC.
The tweets in the network were tweeted over the 7-day, 5-hour, 52-minute period from Monday, 30 December 2019 at 15:40 UTC to Monday, 06 January 2020 at 21:32 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 : 91
Unique Edges : 149
Edges With Duplicates : 313
Total Edges : 462
Self-Loops : 19
Reciprocated Vertex Pair Ratio : 0.122065727699531
Reciprocated Edge Ratio : 0.217573221757322
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 88
Maximum Edges in a Connected Component : 459
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.256033
Graph Density : 0.0291819291819292
Modularity : 0.334478
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 91 Twitter users whose recent tweets contained "jeremyhl", 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, 06 January 2020 at 21:35 UTC.
The tweets in the network were tweeted over the 7-day, 5-hour, 52-minute period from Monday, 30 December 2019 at 15:40 UTC to Monday, 06 January 2020 at 21:32 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 : jeremyhl
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:
[39] nodexl,nodexl [26] jeremyhl,fmfrancoise [25] mihkal,vivianfrancos [25] vivianfrancos,mikequindazzi [23] nodexl,mihkal [22] fmfrancoise,statmaven [22] statmaven,jackcoleman219 [20] top,hashtags [20] jackcoleman219,activithink [19] #ai,#iot Top Word Pairs in Tweet in G1:
[7] #smmm2020,#smc2021 [6] top,hashtags [4] ap,#tech [3] hashtags,#ces2020 [3] #smc2021,#smc2018 [3] u,s [3] ccooke6685,stephen_lay [3] valaafshar,fmfrancoise [3] fmfrancoise,samsung [3] #smc2021,#ces2020 Top Word Pairs in Tweet in G2:
[39] nodexl,nodexl [25] mihkal,vivianfrancos [25] vivianfrancos,mikequindazzi [24] jeremyhl,fmfrancoise [23] nodexl,mihkal [22] fmfrancoise,statmaven [22] statmaven,jackcoleman219 [20] jackcoleman219,activithink [18] mikequindazzi,chidambara09 [18] chidambara09,jeremyhl Top Word Pairs in Tweet in G3:
[8] tom44926730,jeremyhl [6] jeremyhl,millennialprof_ [6] jesserscott,j_motoki [6] j_motoki,bravestbeaver [5] millennialprof_,triciamorrisadr [5] emily_jay_,jesserscott [4] #ff,tom44926730 [4] triciamorrisadr,emily_jay_ [2] #ff,vinylradar [2] vinylradar,minimalloves Top Word Pairs in Tweet in G4:
[2] latest,here's [2] here's,pr [2] pr,marketing [2] marketing,profs [2] profs,sharing [2] sharing,today [2] today,thanks [2] thanks,jeremyhl Top Word Pairs in Tweet in G5:
[2] state,deepfake [2] deepfake,technology [2] technology,used [2] used,against [2] against,politicians [2] politicians,companies [2] companies,governments [2] governments,dangerous [2] dangerous,entities [2] entities,easily Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: