The graph represents a network of 80 Twitter users whose tweets in the requested range contained "#pdf20 OR #wegov OR pdmteam OR @techpresident OR "personal democracy" OR Mlsif", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 13 December 2019 at 01:55 UTC.
The requested start date was Thursday, 12 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 8-hour, 42-minute period from Thursday, 28 November 2019 at 11:00 UTC to Wednesday, 11 December 2019 at 19:42 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 : 80
Unique Edges : 63
Edges With Duplicates : 122
Total Edges : 185
Number of Edge Types : 3
Replies to : 29
Mentions : 117
Tweet : 39
Self-Loops : 39
Reciprocated Vertex Pair Ratio : 0.0543478260869565
Reciprocated Edge Ratio : 0.103092783505155
Connected Components : 10
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 58
Maximum Edges in a Connected Component : 138
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.751585
Graph Density : 0.0153481012658228
Modularity : 0.421264
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 80 Twitter users whose tweets in the requested range contained "#pdf20 OR #wegov OR pdmteam OR @techpresident OR %22personal democracy%22 OR Mlsif", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 13 December 2019 at 01:55 UTC.
The requested start date was Thursday, 12 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 8-hour, 42-minute period from Thursday, 28 November 2019 at 11:00 UTC to Wednesday, 11 December 2019 at 19:42 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 : #pdf20 OR #wegov OR pdmteam OR @techpresident OR %22personal democracy%22 OR Mlsif
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:
[26] personal,democracy [23] democracy,forum [17] forum,cee [15] #civictech,#govtech [14] #events,over [14] over,maanden [14] maanden,personal [14] cee,#civictech [6] bom,dia [5] leahgreenb,ezralevin Top Word Pairs in Tweet in G1:
[5] leahgreenb,ezralevin [4] mlsif,mashagessen [3] mlsif,leahgreenb [2] attempting,intimidate [2] intimidate,coerce [2] coerce,voters [2] voters,illegal [2] illegal,18 [2] 18,code [2] code,594 Top Word Pairs in Tweet in G2:
[3] bayoumimoustafa,laurettaland [3] laurettaland,coe_sue [3] coe_sue,a_j_dawson [3] a_j_dawson,lfeatherz [3] lfeatherz,rufreeman [3] rufreeman,freemanreads [3] freemanreads,doughenwood [2] those,appearing [2] appearing,bayoumimoustafa [2] doughenwood,kingofpain411 Top Word Pairs in Tweet in G3:
[6] bom,dia [5] #letsgov,#wegov [5] wegov,hoje [4] hoje,tem [3] seguimos,#letsgov [3] hoje,#hubgov [3] #hubgov,#wegov [2] tem,governoma [2] governoma,escola_governo [2] escola_governo,#wegov Top Word Pairs in Tweet in G4:
[5] personal,democracy [5] democracy,forum [3] civic,hall [2] civic,tech [2] forum,central [2] central,eastern [2] eastern,europe [2] europe,2020 [2] 2020,pdfcee [2] pdfcee,proposal Top Word Pairs in Tweet in G5:
[4] mlsif,digitalsista [2] digiphile,mlsif [2] digitalsista,think [2] think,illegal [2] illegal,facebook [2] facebook,bans [2] bans,afairk [2] afairk,understanding [2] understanding,ianal [2] ianal,scotus Top Word Pairs in Tweet in G7:
[2] nussbaum,movement [2] movement,cooperative [2] cooperative,data [2] data,right [2] right,left [2] left,essentially [2] essentially,rebuilt [2] rebuilt,obama [2] obama,lost [2] lost,army Top Word Pairs in Tweet in G8:
[16] personal,democracy [16] democracy,forum [15] forum,cee [14] #events,over [14] over,maanden [14] maanden,personal [14] cee,#civictech [14] #civictech,#govtech Top Word Pairs in Tweet in G9:
[2] personal,democracy Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
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 Mentioned in G10:
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: