The graph represents a network of 632 Twitter users whose tweets in the requested range contained "civictech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 02 January 2020 at 02:14 UTC.
The requested start date was Thursday, 02 January 2020 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, 11-hour, 42-minute period from Thursday, 19 December 2019 at 01:20 UTC to Wednesday, 01 January 2020 at 13:03 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 : 632
Unique Edges : 904
Edges With Duplicates : 236
Total Edges : 1140
Number of Edge Types : 4
Mentions : 238
MentionsInRetweet : 746
Tweet : 139
Replies to : 17
Self-Loops : 139
Reciprocated Vertex Pair Ratio : 0.0294117647058824
Reciprocated Edge Ratio : 0.0571428571428571
Connected Components : 96
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 215
Maximum Edges in a Connected Component : 551
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.896067
Graph Density : 0.00228189131176152
Modularity : 0.760126
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 632 Twitter users whose tweets in the requested range contained "civictech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 02 January 2020 at 02:14 UTC.
The requested start date was Thursday, 02 January 2020 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, 11-hour, 42-minute period from Thursday, 19 December 2019 at 01:20 UTC to Wednesday, 01 January 2020 at 13:03 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 : civictech
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:
[78] #civictech,#govtech [28] #govtech,#opengovernment [27] pm,narendramodi [27] narendramodi,vision [27] vision,emphasis [27] emphasis,participative [27] participative,governance [27] governance,mygovindia [27] mygovindia,scaling [27] scaling,heights Top Word Pairs in Tweet in G1:
[56] #civictech,#govtech [28] #govtech,#opengovernment [15] #events,over [15] over,maanden [15] maanden,personal [15] personal,democracy [15] democracy,forum [15] forum,cee [15] cee,#civictech [14] #opengovernment,#digitaltransformation Top Word Pairs in Tweet in G2:
[22] participatory,steiny [21] digital,tech [21] tech,influence [13] #civictech,#govtech [11] report,participatory [11] steiny,digital [11] influence,citizen [11] citizen,government [11] government,interactions [11] interactions,read Top Word Pairs in Tweet in G3:
[11] take,listen [11] listen,uncmpa [11] uncmpa,alumnus [11] alumnus,elgl50 [11] elgl50,co [11] co,founder [11] founder,kwyatt23 [11] kwyatt23,discuss [11] discuss,works [11] works,push Top Word Pairs in Tweet in G4:
[27] pm,narendramodi [27] narendramodi,vision [27] vision,emphasis [27] emphasis,participative [27] participative,governance [27] governance,mygovindia [27] mygovindia,scaling [27] scaling,heights [26] buzzindelhi,pm [26] heights,#digit Top Word Pairs in Tweet in G5:
[9] govtech,nodexl [9] nodexl,govtechnews [7] govtechnews,public_team [7] public_team,cybersec_feeds [7] cybersec_feeds,yourxss [7] yourxss,apoliticalco [7] apoliticalco,dk_analytics [4] dk_analytics,fmfrancoise [4] #civictech,#ai [4] ht,kirkdborne Top Word Pairs in Tweet in G6:
[14] using,#ai [14] #ai,driven [14] driven,drone [14] drone,swarms [14] swarms,search [14] search,rescue [14] rescue,operations [14] operations,#ai4socialgood [14] #ai4socialgood,#uas [14] #uas,#uav Top Word Pairs in Tweet in G7:
[3] really,really [2] aime,marches [2] #elections,personne [2] personne,vote [2] taux,d'abstention [2] アーバンデータチャレンジ2019,国立国会図書館特別賞 [2] 2020,beyond [2] beyond,managing [2] managing,intersection [2] intersection,technology Top Word Pairs in Tweet in G8:
[18] quelles,sont [11] retrouvez,compte [11] compte,rendu [11] rendu,vidéo [11] vidéo,échanges [11] échanges,événement [11] événement,organisé [11] organisé,décembre [11] décembre,2019 [11] 2019,par Top Word Pairs in Tweet in G9:
[12] rounding,2019 [12] 2019,dream [12] dream,make [12] make,greater [12] greater,impacts [12] impacts,year [12] year,ahead [12] ahead,thank [12] thank,funders [12] funders,partners Top Word Pairs in Tweet in G10:
[11] decade,many [11] many,influential [11] influential,#urbanism [11] #urbanism,movements [11] movements,stateofplace [11] stateofplace,cityfoodlover [11] cityfoodlover,provides [11] provides,inspiring [11] inspiring,overview [10] ebkent,decade Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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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:
Top Tweeters in G2:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: