The graph represents a network of 644 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, 20 January 2022 at 15:45 UTC.
The requested start date was Thursday, 20 January 2022 at 01:01 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, 20-hour, 35-minute period from Thursday, 06 January 2022 at 02:08 UTC to Wednesday, 19 January 2022 at 22:43 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 : 644
Unique Edges : 465
Edges With Duplicates : 1112
Total Edges : 1577
Number of Edge Types : 5
Tweet : 250
Mentions : 326
MentionsInRetweet : 581
Retweet : 388
Replies to : 32
Self-Loops : 266
Reciprocated Vertex Pair Ratio : 0.0374331550802139
Reciprocated Edge Ratio : 0.0721649484536082
Connected Components : 104
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 373
Maximum Edges in a Connected Component : 1058
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.7078
Graph Density : 0.0018739796953334
Modularity : 0.474629
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 644 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, 20 January 2022 at 15:45 UTC.
The requested start date was Thursday, 20 January 2022 at 01:01 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, 20-hour, 35-minute period from Thursday, 06 January 2022 at 02:08 UTC to Wednesday, 19 January 2022 at 22:43 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:
[136] opengov,asia [57] open,government [24] #opengov,commitments [23] gobierno,abierto [21] government,participation [20] super,team [20] team,scotgovopen [20] scotgovopen,hiring [20] hiring,open [20] participation,policy Top Word Pairs in Tweet in G1:
[21] #opengov,commitments [14] parliaments,help [14] help,advance [14] advance,#opengov [14] commitments,legislative [14] legislative,action [14] action,parliamentary [14] parliamentary,oversight [14] oversight,opening [13] opengovpart,parliaments Top Word Pairs in Tweet in G2:
[19] programa,formación [19] formación,postítulo [19] postítulo,único [19] único,pionero [19] pionero,iberoamérica [19] iberoamérica,diplomado [19] diplomado,innovación [19] innovación,pública [19] pública,gobierno [18] gobierno,abierto Top Word Pairs in Tweet in G3:
[47] opengov,asia [9] meeting,today [8] see,agenda [8] agenda,teleconferencing [8] teleconferencing,details [8] today,january [7] open,government [6] free,python [6] python,ai [6] ai,courses Top Word Pairs in Tweet in G4:
[6] play,federalcdo [6] federalcdo,stop [6] stop,publishing [6] publishing,pdfs [6] pdfs,please [6] please,model [6] model,compliance [6] compliance,#opengov [6] #opengov,data [6] data,act Top Word Pairs in Tweet in G5:
[20] wa,state [10] against,wa [9] state,supreme [9] supreme,court [8] lawsuits,against [8] state,redistricting [7] #opengov,lawsuits [6] #opengov,laws [6] someone,nc [6] nc,government Top Word Pairs in Tweet in G6:
[8] stolzer,zwischenschritt [8] zwischenschritt,datenportal [8] datenportal,#niederrhein [8] #niederrhein,stecken [8] stecken,inzwischen [8] inzwischen,000 [8] 000,datensätze [8] datensätze,14 [8] 14,behörden [8] behörden,liefern Top Word Pairs in Tweet in G7:
[6] package,import [6] import,water [6] water,survey [6] survey,canada [6] canada,hydrometric [6] hydrometric,data [6] data,make [6] make,tidy [6] tidy,ropensci [5] records,requests Top Word Pairs in Tweet in G8:
[4] nefac,strengthens [4] strengthens,#press [4] #press,#opengov [4] #opengov,advocacy [4] advocacy,juliasbergman [4] juliasbergman,hearst [4] hearst,conn [4] conn,media [4] media,group [4] group,jeffcohenwnpr Top Word Pairs in Tweet in G9:
[2] trends,2022 [2] 2022,forbescmo [2] forbescmo,forbes [2] forbes,forbestech [2] forbestech,forbeswomen [2] forbeswomen,forbes_india [2] forbes_india,forbeslife [2] forbeslife,forbessports [2] forbessports,#forbes [2] #forbes,#forbestech Top Word Pairs in Tweet in G10:
[24] open,government [20] government,participation [19] super,team [19] team,scotgovopen [19] scotgovopen,hiring [19] hiring,open [19] participation,policy [19] policy,officer [19] officer,apply [19] apply,6th Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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:
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: