The graph represents a network of 3,315 Twitter users whose recent tweets contained "Civic Engagement", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 02 December 2020 at 14:28 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 33-minute period from Monday, 23 November 2020 at 10:32 UTC to Wednesday, 02 December 2020 at 14:05 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 : 3315
Unique Edges : 4585
Edges With Duplicates : 669
Total Edges : 5254
Number of Edge Types : 5
Retweet : 1658
MentionsInRetweet : 1711
Mentions : 962
Tweet : 660
Replies to : 263
Self-Loops : 677
Reciprocated Vertex Pair Ratio : 0.0274266634867637
Reciprocated Edge Ratio : 0.05338904363974
Connected Components : 814
Single-Vertex Connected Components : 287
Maximum Vertices in a Connected Component : 338
Maximum Edges in a Connected Component : 943
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.684464
Graph Density : 0.00039213865760779
Modularity : 0.816119
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,315 Twitter users whose recent tweets contained "Civic Engagement", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 02 December 2020 at 14:28 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 33-minute period from Monday, 23 November 2020 at 10:32 UTC to Wednesday, 02 December 2020 at 14:05 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 : TwitterSearch
Graph Term : Civic Engagement
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:
[2273] civic,engagement [546] one,more [546] more,time [274] reverendwarnock,ossoff [273] peak,civic [273] engagement,vote [273] vote,georgia [273] georgia,going [273] going,well [273] well,one Top Word Pairs in Tweet in G1:
[258] civic,engagement [55] #civic,#engagement [14] community,engagement [10] 2020,election [9] leadership,civic [8] young,people [7] research,civic [6] nigeria,strengthening [6] strengthening,civic [6] civic,advocacy Top Word Pairs in Tweet in G2:
[540] one,more [540] more,time [272] civic,engagement [271] reverendwarnock,ossoff [270] peak,civic [270] engagement,vote [270] vote,georgia [270] georgia,going [270] going,well [270] well,one Top Word Pairs in Tweet in G3:
[96] year,old [55] civic,engagement [48] jagmeet,aoc [48] aoc,convo [48] convo,brilliant [48] brilliant,great [48] great,civic [48] engagement,hilarious [48] hilarious,year [48] old,65 Top Word Pairs in Tweet in G5:
[46] civic,engagement [44] chief,civic [41] aisha,miller [41] miller,chief [40] proud,excited [40] excited,appoint [40] appoint,aisha [40] engagement,brings [40] brings,wealth [40] wealth,knowledge Top Word Pairs in Tweet in G6:
[64] civic,engagement [42] office,civic [30] lagos,state [22] mother,infant [22] infant,child [21] office,sustainable [21] sustainable,development [21] development,goals [21] goals,investment [21] state,volunteer Top Word Pairs in Tweet in G7:
[44] civic,engagement [23] #basicincome,improve [23] improve,democratic [23] democratic,process [23] process,trigger [23] trigger,renaissance [23] renaissance,civic [23] engagement,turning [23] turning,back [23] back,dial Top Word Pairs in Tweet in G8:
[21] human,rights [21] civic,engagement [20] kenya,continent [20] continent,active [20] active,hubs [20] hubs,foreign [20] foreign,aid [20] aid,money [20] money,number [20] number,aid Top Word Pairs in Tweet in G9:
[17] civic,engagement [16] between,52 [16] 52,percent [16] percent,55 [16] 55,percent [16] percent,eligible [16] eligible,adults [16] adults,under [16] under,age [16] age,30 Top Word Pairs in Tweet in G10:
[13] pandemic,racial [13] racial,protests [11] tough,holiday [11] holiday,talks [11] talks,misinformation [11] north,dakota [9] families,gather [9] gather,thanksgiving [9] thanksgiving,meals [9] meals,person Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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 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:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: