The graph represents a network of 618 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, 06 January 2022 at 15:44 UTC.
The requested start date was Thursday, 06 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, 19-hour, 48-minute period from Thursday, 23 December 2021 at 02:00 UTC to Wednesday, 05 January 2022 at 21:48 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 : 618
Unique Edges : 417
Edges With Duplicates : 960
Total Edges : 1377
Number of Edge Types : 5
Retweet : 355
MentionsInRetweet : 484
Tweet : 201
Mentions : 297
Replies to : 40
Self-Loops : 215
Reciprocated Vertex Pair Ratio : 0.0236336779911374
Reciprocated Edge Ratio : 0.0461760461760462
Connected Components : 100
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 296
Maximum Edges in a Connected Component : 768
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.564543
Graph Density : 0.00181743796321065
Modularity : 0.49429
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 618 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, 06 January 2022 at 15:44 UTC.
The requested start date was Thursday, 06 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, 19-hour, 48-minute period from Thursday, 23 December 2021 at 02:00 UTC to Wednesday, 05 January 2022 at 21:48 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:
[83] opengov,asia [28] open,data [27] open,government [27] job,alert [27] looking,research [27] research,manager [27] manager,join [27] join,remote [27] remote,first [27] first,team Top Word Pairs in Tweet in G1:
[17] join,#ogplocal [17] #ogplocal,growing [17] growing,community [17] community,#opengov [17] #opengov,reformers [17] reformers,applications [17] applications,open [17] open,until [17] until,march [17] march,16 Top Word Pairs in Tweet in G2:
[52] opengov,asia [5] open,government [5] government,big [5] big,data [5] data,institute [5] role,opengov [5] asia,#futureofag [5] #futureofag,#agriculture [5] #agriculture,#technology [4] prototyping,smart Top Word Pairs in Tweet in G3:
[20] open,government [18] multi,stakeholder [18] stakeholder,forum [18] forum,open [17] canada,multi [17] civil,society [16] society,members [16] civic,engagement [10] monica,granados [10] granados,environmentca Top Word Pairs in Tweet in G4:
[13] wa,state [9] internal,affairs [9] affairs,files [8] cfoic's,2021 [8] 2021,year [8] year,review [8] review,sole [8] sole,finalists [8] finalists,police [8] police,internal Top Word Pairs in Tweet in G5:
[11] #smartcity,#smartcities [10] reminder,#smartct [6] #crypto,#cryptocurrency [6] apps,part [6] part,foundations [6] foundations,gentle [6] gentle,reminder [6] #smartct,#stopsmartwashing [6] #stopsmartwashing,#smartcity [5] #smartcities,#opendata Top Word Pairs in Tweet in G6:
[5] #open,award [5] award,jimmy_wales [5] jimmy_wales,arubin [5] arubin,wikispeed [5] wikispeed,okfn [5] okfn,opengov [5] opengov,openculture [3] health,department [3] state,employees [3] employees,received Top Word Pairs in Tweet in G7:
[3] #opengov,#transparency [3] chrisronayne,weingart2022 [2] sosayslucia,github [2] github,#opengov [2] mitchel73986362,eyeonoh [2] eyeonoh,clevelandscene [2] clevelandscene,using [2] using,creative [2] creative,commons [2] commons,license Top Word Pairs in Tweet in G8:
[27] job,alert [27] looking,research [27] research,manager [27] manager,join [27] join,remote [27] remote,first [27] first,team [26] open,data [25] opendatacharter,job [25] alert,open Top Word Pairs in Tweet in G9:
[5] days,left [4] customer,countdown [4] countdown,complete [4] complete,without [4] without,#3 [4] #3,cityofsavannah [4] cityofsavannah,watch [4] watch,city [4] city,restoring [4] restoring,resident Top Word Pairs in Tweet in G10:
[10] επειδή,δεν [10] δεν,μπορούσαν [10] μπορούσαν,να [10] να,με [10] με,εντοπίσουν [10] εντοπίσουν,στον [10] στον,καφέ [10] καφέ,τους [10] τους,δεν [10] δεν,χρησιμοποιούσα Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: