The graph represents a network of 665 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, 21 April 2022 at 14:43 UTC.
The requested start date was Thursday, 21 April 2022 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, 14-hour, 58-minute period from Thursday, 07 April 2022 at 07:54 UTC to Wednesday, 20 April 2022 at 22:53 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 : 665
Unique Edges : 481
Edges With Duplicates : 1036
Total Edges : 1517
Number of Edge Types : 5
Retweet : 364
MentionsInRetweet : 505
Mentions : 378
Tweet : 235
Replies to : 35
Self-Loops : 244
Reciprocated Vertex Pair Ratio : 0.0379918588873813
Reciprocated Edge Ratio : 0.073202614379085
Connected Components : 117
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 307
Maximum Edges in a Connected Component : 778
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.867419
Graph Density : 0.0017324938853157
Modularity : 0.485746
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 665 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, 21 April 2022 at 14:43 UTC.
The requested start date was Thursday, 21 April 2022 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, 14-hour, 58-minute period from Thursday, 07 April 2022 at 07:54 UTC to Wednesday, 20 April 2022 at 22:53 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:
[124] opengov,asia [26] open,government [24] non,binary [23] woman,non [23] binary,person [23] person,work [23] work,open [23] open,spaces [23] spaces,something [23] something,never Top Word Pairs in Tweet in G1:
[9] working,group [6] public,meeting [6] chief,data [6] data,officers [6] officers,federalcdo [6] federalcdo,data [6] data,inventory [6] inventory,working [6] group,published [6] published,report Top Word Pairs in Tweet in G2:
[16] marshall,plan [16] go,digital [16] digital,leveraging [13] month,until [13] until,#opengovweek [13] #opengovweek,host [13] host,attend [13] attend,co [13] co,create [13] create,join Top Word Pairs in Tweet in G3:
[56] opengov,asia [11] opengov,hiring [10] digitising,smes [10] hiring,remote [10] apply,#remotejobs [10] #remotejobs,#remotework [8] remote,junior [8] junior,executive [8] executive,assistant [8] assistant,scheduler Top Word Pairs in Tweet in G4:
[17] open,government [16] 10,atrás [16] atrás,junto [16] junto,gran [16] gran,cesarncruz [16] cesarncruz,gigapp [16] gigapp,propusimos [16] propusimos,generar [16] generar,ofrecer [16] ofrecer,marco Top Word Pairs in Tweet in G5:
[2] cuyahogaoem,cuyahogacounty [2] cuyahogacounty,chrisronayne [2] chrisronayne,weingart2022 [2] weingart2022,tariq_shabazz_ [2] tariq_shabazz_,emergency [2] emergency,plans [2] plans,#opengov Top Word Pairs in Tweet in G6:
[22] woman,non [22] non,binary [22] binary,person [22] person,work [22] work,open [22] open,spaces [22] spaces,something [22] something,never [22] never,time [22] time,sit Top Word Pairs in Tweet in G7:
[10] gt,#bospoli [10] #bospoli,#mapoli [6] chang,díaz [6] #mapoli,#opengov [5] letter,dailyhampgaz [5] dailyhampgaz,chang [5] díaz,choice [5] choice,governor [5] governor,gt [4] poeboston,letter Top Word Pairs in Tweet in G8:
[14] please,support [12] support,#brookline's [12] #brookline's,#communitymedia [12] #communitymedia,center [12] center,brkinteractive [12] brkinteractive,co [12] co,sponsoring [12] sponsoring,amendment [12] amendment,fund [8] support,#communitymedia Top Word Pairs in Tweet in G9:
[15] 발빠짐,사고는 [15] 사고는,휠체어를 [15] 휠체어를,이용하는 [15] 이용하는,지체장애나 [15] 지체장애나,시각장애인 [15] 시각장애인,뿐 [15] 뿐,아니라 [15] 아니라,비장애인 [15] 비장애인,어린이 [15] 어린이,모두가 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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:
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: