The graph represents a network of 3,485 Twitter users whose recent tweets contained "Gov Tom Wolf", 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, 02 April 2020 at 02:34 UTC.
The tweets in the network were tweeted over the 7-day, 10-hour, 47-minute period from Wednesday, 25 March 2020 at 14:50 UTC to Thursday, 02 April 2020 at 01:38 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 : 3485
Unique Edges : 3691
Edges With Duplicates : 819
Total Edges : 4510
Number of Edge Types : 5
Retweet : 2824
Tweet : 892
Replies to : 130
MentionsInRetweet : 366
Mentions : 298
Self-Loops : 896
Reciprocated Vertex Pair Ratio : 0.00204022150976392
Reciprocated Edge Ratio : 0.00407213496218732
Connected Components : 396
Single-Vertex Connected Components : 255
Maximum Vertices in a Connected Component : 2663
Maximum Edges in a Connected Component : 3504
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.97828
Graph Density : 0.000283155462067216
Modularity : 0.726981
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 3,485 Twitter users whose recent tweets contained "Gov Tom Wolf", 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, 02 April 2020 at 02:34 UTC.
The tweets in the network were tweeted over the 7-day, 10-hour, 47-minute period from Wednesday, 25 March 2020 at 14:50 UTC to Thursday, 02 April 2020 at 01:38 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 : Gov Tom Wolf
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:
[3781] tom,wolf [2825] gov,tom [2490] holy,holy [1645] stay,home [1018] governor,tom [971] home,order [839] pa,governor [830] holy,crap [830] crap,pa [830] wolf,give Top Word Pairs in Tweet in G1:
[2412] holy,holy [804] holy,crap [804] crap,pa [804] pa,governor [804] governor,tom [804] tom,wolf [804] wolf,give [804] give,lockdown [804] lockdown,waiver [804] waiver,company Top Word Pairs in Tweet in G2:
[282] tom,wolf [256] gov,tom [125] stay,home [83] home,order [50] covid,19 [47] pennsylvania,gov [36] governor,tom [36] life,sustaining [27] wolf,extends [25] coronavirus,pennsylvania Top Word Pairs in Tweet in G3:
[345] gov,tom [330] tom,wolf [147] stay,home [96] home,order [69] life,sustaining [59] qualified,life [59] during,coronavirus [48] wolf,former [48] coronavirus,shutdown [43] under,order Top Word Pairs in Tweet in G4:
[185] tom,wolf [158] stay,home [137] gov,tom [94] coronavirus,outbreak [83] news,gov [81] under,order [80] home,order [74] pennsylvania,under [73] breaking,news [73] placed,pennsylvania Top Word Pairs in Tweet in G5:
[177] tom,wolf [174] gov,tom [174] pennsylvania,under [174] under,order [174] order,stay [174] stay,home [173] harrisburg,pa [173] pa,ap [173] ap,gov [173] wolf,places Top Word Pairs in Tweet in G6:
[85] tom,wolf [78] gov,tom [36] emergency,school [36] school,bill [31] signs,emergency [31] bill,addresses [31] addresses,issues [27] stay,home [23] breaking,governortomwolf [23] governortomwolf,signs Top Word Pairs in Tweet in G7:
[213] tom,wolf [191] gov,tom [70] stay,home [63] home,order [56] covid,19 [54] holy,holy [42] thousands,businesses [42] businesses,pennsylvania [42] pennsylvania,closed [42] closed,under Top Word Pairs in Tweet in G8:
[174] gov,tom [172] tom,wolf [104] stay,home [67] home,order [63] order,lehigh [62] lehigh,valley [59] wolf,issue [59] issue,stay [59] valley,coronavirus [59] coronavirus,spreads Top Word Pairs in Tweet in G9:
[167] tom,wolf [141] gov,tom [107] stay,home [85] home,order [60] pennsylvania,gov [44] under,stay [37] major,disaster [37] covid,19 [35] disaster,declaration [34] pennsylvania,under Top Word Pairs in Tweet in G10:
[107] gov,tom [107] tom,wolf [107] stay,home [107] home,order [104] pennsylvania,gov [103] breaking,pennsylvania [103] wolf,issues [103] issues,stay [103] order,entire [103] entire,state Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: