The graph represents a network of 3,128 Twitter users whose tweets in the requested range contained "(corona OR virus OR covid) ("Gov PA" OR GovernorTomWolf)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 September 2020 at 00:08 UTC.
The requested start date was Monday, 14 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 11-day, 13-hour, 17-minute period from Monday, 31 August 2020 at 00:19 UTC to Friday, 11 September 2020 at 13:37 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 : 3128
Unique Edges : 5296
Edges With Duplicates : 7238
Total Edges : 12534
Number of Edge Types : 5
Mentions : 3152
Replies to : 1746
MentionsInRetweet : 5510
Retweet : 2043
Tweet : 83
Self-Loops : 94
Reciprocated Vertex Pair Ratio : 0.0179556239579325
Reciprocated Edge Ratio : 0.0352778127756079
Connected Components : 18
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 3109
Maximum Edges in a Connected Component : 12470
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.449669
Graph Density : 0.000811449981474772
Modularity : 0.361469
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,128 Twitter users whose tweets in the requested range contained "(corona OR virus OR covid) (%22Gov PA%22 OR GovernorTomWolf)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 September 2020 at 00:08 UTC.
The requested start date was Monday, 14 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 11-day, 13-hour, 17-minute period from Monday, 31 August 2020 at 00:19 UTC to Friday, 11 September 2020 at 13:37 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 : GraphServerTwitterSearch
Graph Term : (corona OR virus OR covid) (%22Gov PA%22 OR GovernorTomWolf)
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:
[647] adult,use [596] covid,19 [463] pa,governortomwolf [439] once,again [438] legalize,adult [437] later,today [437] ll,join [437] join,fettermanlt [437] fettermanlt,once [437] again,call Top Word Pairs in Tweet in G1:
[634] adult,use [432] once,again [432] legalize,adult [431] later,today [431] ll,join [431] join,fettermanlt [431] fettermanlt,once [431] again,call [431] call,pennsylvania [431] pennsylvania,legislature Top Word Pairs in Tweet in G2:
[122] covid,19 [63] pennsylvaniagov,governortomwolf [54] governortomwolf,fettermanlt [52] covid,deaths [46] nursing,homes [46] governortomwolf,covid [45] governortomwolf,healthdept [36] governortomwolf,apsatweets [35] atwarwithwolf,governortomwolf [35] died,covid Top Word Pairs in Tweet in G3:
[161] nursing,homes [158] covid,19 [152] virus,deadly [152] pushed,nursing [152] atwarwithwolf,covid [151] 19,virus [151] deadly,pushed [151] homes,elderly [151] elderly,comorbidities [144] comorbidities,deaâ Top Word Pairs in Tweet in G4:
[228] governortomwolf,secretarylevine [227] janicedean,nygovcuomo [227] nygovcuomo,pahealthdept [227] pahealthdept,nygovcuomo [227] nygovcuomo,pa [227] pa,governortomwolf [227] secretarylevine,ordered [227] ordered,those [226] johnkelemen,janicedean [169] those,facilitieâ Top Word Pairs in Tweet in G5:
[230] pa,governortomwolf [226] pa,being [226] being,crushed [226] crushed,evil [226] evil,democrats [226] democrats,hate [226] hate,pa [226] governortomwolf,senbobcasey [226] senbobcasey,secretarylevine [226] secretarylevine,wealthy Top Word Pairs in Tweet in G6:
[11] idealskeptic,governortomwolf [10] sentoomey,broadandliberty [9] covid,19 [8] sunshinedaidrmr,sentoomey [6] broadandliberty,covid [6] covid,handled [6] handled,right [6] right,way [6] way,start [6] start,mess Top Word Pairs in Tweet in G7:
[4] covid,deaths [4] using,covid [3] cristob51166035,jennamarie001 [3] jennamarie001,governortomwolf [3] covid,19 [3] nursing,homes [3] azy1210,kamalaharris [3] kamalaharris,governortomwolf [3] caliconserv1,badsportsrefs [3] whitehouse,governortomwolf Top Word Pairs in Tweet in G8:
[15] palaborindustry,governortomwolf [12] wgal,governortomwolf [11] _firstdivision,palaborindustry [10] covid,19 [9] butchpa,wgal [8] ryan2729,_firstdivision [8] lost,job [6] due,covid [6] senatorreganpa,annedgallaher [6] annedgallaher,lucygnazzo Top Word Pairs in Tweet in G9:
[4] phillymayor,phlcityhomeless [4] phlcityhomeless,philadelphian [4] philadelphian,asking [4] asking,cancel [4] cancel,planned [4] planned,encampment [4] encampment,evictions [4] evictions,cdc [4] cdc,released [3] adr_215,phillymayor Top Word Pairs in Tweet in G10:
[10] dozens,people [10] people,ice [10] ice,custody [10] custody,die [10] die,covid [10] covid,19 [10] 19,babies [10] babies,being [10] being,left [10] left,family Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: