The graph represents a network of 91 Twitter users whose recent tweets contained "#knightLive", 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 Monday, 06 July 2020 at 17:31 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 6-minute period from Sunday, 28 June 2020 at 15:10 UTC to Monday, 06 July 2020 at 16:16 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 : 91
Unique Edges : 396
Edges With Duplicates : 108
Total Edges : 504
Number of Edge Types : 5
MentionsInRetweet : 351
Retweet : 83
Mentions : 67
Tweet : 2
Replies to : 1
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.0546318289786223
Reciprocated Edge Ratio : 0.103603603603604
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 91
Maximum Edges in a Connected Component : 504
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.191523
Graph Density : 0.0542124542124542
Modularity : 0.406206
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 91 Twitter users whose recent tweets contained "#knightLive", 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 Monday, 06 July 2020 at 17:31 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 6-minute period from Sunday, 28 June 2020 at 15:10 UTC to Monday, 06 July 2020 at 16:16 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 : #knightLive
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:
[28] racism,immigrant [28] immigrant,communities [26] fabiolasantiago,tanzinavega [22] tanzinavega,karenattiah [22] karenattiah,fabiolasantiago [22] fabiolasantiago,karenkho [22] #knightlive,#morelatinosinnews [21] informed,engaged [20] register,watch [19] 1pm,#knightlive Top Word Pairs in Tweet in G1:
[24] racism,immigrant [24] immigrant,communities [24] fabiolasantiago,tanzinavega [21] tanzinavega,karenattiah [21] karenattiah,fabiolasantiago [21] fabiolasantiago,karenkho [21] #knightlive,#morelatinosinnews [18] line,deserves [18] deserves,top [18] top,mainstream Top Word Pairs in Tweet in G2:
[14] next,episode [14] huprez17,suzannenossel [13] talk,#freespeech [12] episode,vision [10] show,starts [8] excited,join [8] join,thesamgill [8] thesamgill,knightfdn's [8] knightfdn's,vision [8] vision,thursday Top Word Pairs in Tweet in G3:
[2] took,notes [2] notes,#knightlive [2] #knightlive,convo [2] convo,week [2] week,dismantling [2] dismantling,systemic [2] systemic,racism [2] racism,journalism [2] journalism,mitrakalita [2] mitrakalita,slomaxreese Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: