The graph represents a network of 1,064 Twitter users whose tweets in the requested range contained "opengov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 September 2020 at 14:56 UTC.
The requested start date was Thursday, 17 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 13-day, 21-hour, 28-minute period from Thursday, 03 September 2020 at 01:18 UTC to Wednesday, 16 September 2020 at 22:47 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 : 1064
Unique Edges : 969
Edges With Duplicates : 2020
Total Edges : 2989
Number of Edge Types : 5
Retweet : 860
MentionsInRetweet : 1367
Mentions : 524
Replies to : 54
Tweet : 184
Self-Loops : 196
Reciprocated Vertex Pair Ratio : 0.0396927016645326
Reciprocated Edge Ratio : 0.0763546798029557
Connected Components : 100
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 639
Maximum Edges in a Connected Component : 2032
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.234542
Graph Density : 0.00143585681041739
Modularity : 0.480211
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,064 Twitter users whose tweets in the requested range contained "opengov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 September 2020 at 14:56 UTC.
The requested start date was Thursday, 17 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 13-day, 21-hour, 28-minute period from Thursday, 03 September 2020 at 01:18 UTC to Wednesday, 16 September 2020 at 22:47 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 : opengov
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:
[61] covid,19 [61] critical,events [60] managing,multiple [60] multiple,critical [60] events,everbridge [60] everbridge,integrates [60] integrates,latest [60] latest,technology [60] technology,#iot [60] #iot,#ai Top Word Pairs in Tweet in G1:
[34] digital,youth [34] youth,summit [27] virtual,leaders [27] leaders,summit [24] accountlab,restlessdev [23] share,#opengov [23] sep,24 [23] inclusive,#covid19 [22] join,ogp [22] ogp,virtual Top Word Pairs in Tweet in G2:
[34] covid,19 [30] opengovpart,re [30] re,excited [30] excited,launch [30] launch,government [30] government,accountability [30] accountability,responsiveness [30] responsiveness,during [30] during,covid [30] 19,innovation Top Word Pairs in Tweet in G3:
[60] managing,multiple [60] multiple,critical [60] critical,events [60] events,everbridge [60] everbridge,integrates [60] integrates,latest [60] latest,technology [60] technology,#iot [60] #iot,#ai [60] #ai,provide Top Word Pairs in Tweet in G4:
[15] vcog,daily [15] daily,access [15] access,news [12] awards,event [12] #opengov,#transparency [10] sept,18 [9] annual,awards [9] wa,state's [9] state's,#opengov [9] #opengov,champions Top Word Pairs in Tweet in G5:
[6] abqpolice,chief [5] superbly,disingenuous [5] disingenuous,response [5] response,mhclg [5] mhclg,einsteinsattic's [5] einsteinsattic's,#foi [5] #foi,request [5] request,results [5] results,faculty [5] faculty,topic Top Word Pairs in Tweet in G6:
[20] cu,regents [20] regents,allowed [20] allowed,engage [20] engage,manipulative [20] manipulative,word [20] word,play [20] play,end [20] end,run [20] run,colorado [20] colorado,open Top Word Pairs in Tweet in G7:
[2] troll,farm [2] financial,data Top Word Pairs in Tweet in G8:
[9] cool,#foia [9] #foia,#opengov [8] a_marshall_plan,cool [5] data,act [5] ruling,crewcrew [5] crewcrew,fec [5] fec,threw [5] threw,rule [5] rule,never [5] never,matched Top Word Pairs in Tweet in G9:
[16] oecd,govbr [12] govbr,launched [12] launched,cooperation [12] cooperation,#opengov [12] #opengov,during [12] during,webinar [12] webinar,300 [12] 300,civil [12] civil,servants [12] servants,csos Top Word Pairs in Tweet in G10:
[7] see,agenda [7] meeting,today [6] agenda,teleconferencing [6] teleconferencing,details [6] today,september [4] 00,pm [3] broadest,construction [3] construction,oppose [3] oppose,reason [3] reason,considerations Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: