The graph represents a network of 238 Twitter users whose tweets in the requested range contained "civichall", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 15 November 2019 at 13:05 UTC.
The requested start date was Friday, 15 November 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, 17-hour, 54-minute period from Friday, 01 November 2019 at 01:45 UTC to Thursday, 14 November 2019 at 19:40 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 : 238
Unique Edges : 474
Edges With Duplicates : 156
Total Edges : 630
Number of Edge Types : 3
Mentions : 558
Tweet : 46
Replies to : 26
Self-Loops : 46
Reciprocated Vertex Pair Ratio : 0.0756302521008403
Reciprocated Edge Ratio : 0.140625
Connected Components : 19
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 203
Maximum Edges in a Connected Component : 581
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.877255
Graph Density : 0.00907704854093536
Modularity : 0.575857
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 238 Twitter users whose tweets in the requested range contained "civichall", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 15 November 2019 at 13:05 UTC.
The requested start date was Friday, 15 November 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, 17-hour, 54-minute period from Friday, 01 November 2019 at 01:45 UTC to Thursday, 14 November 2019 at 19:40 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 : civichall
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[82] ã,ã [24] ãƒ,ム[21] ðÿ,ðÿ [17] new,yorkers [17] new,report [14] opportunity,gap [13] ç,å [13] å,æ [12] tech,opportunity [10] high,tech Top Word Pairs in Tweet in G1:
[16] new,report [16] new,yorkers [14] opportunity,gap [12] tech,opportunity [10] tech,jobs [10] high,tech [10] ðÿ,ðÿ [9] nyc's,tech [9] make,up [9] released,today Top Word Pairs in Tweet in G2:
[3] nycbigapps,civichall [3] civichall,ubuntu [3] ubuntu,ubuntubot2075 [3] ubuntubot2075,canonical [3] canonical,noaasatellites [3] noaasatellites,hopstopnyc [3] hopstopnyc,hopstop [3] hopstop,viamichelin [3] viamichelin,amd [2] motorious_tv,nycbigapps Top Word Pairs in Tweet in G3:
[9] please,come [9] come,really [9] really,fun [9] fun,event [9] event,talking [9] talking,american [9] american,resistance [9] resistance,civichall [9] civichall,nov [9] nov,15 Top Word Pairs in Tweet in G4:
[8] ðÿ,ðÿ [5] paulaforteza,openbudgetseu [5] openbudgetseu,regardscitoyens [5] regardscitoyens,opengovpart [5] opengovpart,rayan_nezzar [5] rayan_nezzar,datactivi_st [5] datactivi_st,datagora [5] datagora,romaintales [5] romaintales,openfisca [5] openfisca,maukoquiroga Top Word Pairs in Tweet in G5:
[4] very,important [4] important,background [4] background,10 [4] 10,years [4] years,ago [4] ago,launched [4] launched,podcast [4] podcast,interviewing [4] interviewing,timoreilly [3] adrielhampton,very Top Word Pairs in Tweet in G6:
[3] seunonigbinde,opengovhub [3] opengovhub,civichall [3] civichall,macfound [3] macfound,fordfoundation [3] fordfoundation,opensociety [3] opensociety,obyezeks [3] obyezeks,segalink [3] segalink,frankdonga_ [2] civichive,seunonigbinde Top Word Pairs in Tweet in G7:
[15] ã,ã [12] ãƒ,ム[5] æ,ã [4] å,ム[4] ã,œã [3] ãƒ,ã [3] œã,ã [3] really,suck [3] suck,#grandslamofdarts [3] #grandslamofdarts,return Top Word Pairs in Tweet in G8:
[4] nyc,see [4] see,tonight [4] tonight,rsvp [4] rsvp,ntenorg [4] ntenorg,nyc [4] nyc,meetup [4] meetup,learn [4] learn,funddiva [4] funddiva,create [4] create,winning Top Word Pairs in Tweet in G9:
[4] great,hear [4] hear,junior [4] junior,leadership [4] leadership,team [4] team,sharing [4] sharing,views [4] views,leading [4] leading,way [4] way,civichall [4] civichall,child_leeds Top Word Pairs in Tweet in G10:
[2] 11월,12일 [2] 00,gmt [2] gmt,8 [2] 8,cvc [2] cvc,usdt [2] cvc,btc [2] btc,cvc [2] civickey,civicknowledge [2] civicknowledge,civicaction [2] civicaction,civichall 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 G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: