The graph represents a network of 152 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 22 November 2019 at 17:51 UTC.
The requested start date was Friday, 22 November 2019 at 13:48 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 9-day, 8-hour, 18-minute period from Tuesday, 12 November 2019 at 14:05 UTC to Thursday, 21 November 2019 at 22:23 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 : 152
Unique Edges : 203
Edges With Duplicates : 93
Total Edges : 296
Number of Edge Types : 3
Mentions : 267
Tweet : 20
Replies to : 9
Self-Loops : 20
Reciprocated Vertex Pair Ratio : 0.0394088669950739
Reciprocated Edge Ratio : 0.0758293838862559
Connected Components : 12
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 134
Maximum Edges in a Connected Component : 278
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.672444
Graph Density : 0.00919309864064134
Modularity : 0.457314
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 152 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 22 November 2019 at 17:51 UTC.
The requested start date was Friday, 22 November 2019 at 13:48 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 9-day, 8-hour, 18-minute period from Tuesday, 12 November 2019 at 14:05 UTC to Thursday, 21 November 2019 at 22:23 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 : lrainie
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:
[22] emerging,economies [21] pewresearch,report [21] control,over [15] lrainie,pewresearch [15] lrainie,americans [14] americans,feel [13] mobile,divides [13] feel,control [13] over,over [13] over,data Top Word Pairs in Tweet in G1:
[14] control,over [14] lrainie,americans [12] americans,feel [12] feel,control [12] over,over [12] over,data [12] data,government [12] government,companies [12] companies,collect [11] americans,think Top Word Pairs in Tweet in G2:
[2] iipp_ucl,lrainie [2] lrainie,rainerkattel [2] rainerkattel,jryancollins Top Word Pairs in Tweet in G3:
[4] smart,speakers [2] lrainie,25 [2] 25,adults [2] adults,smart [2] speakers,somewhat [2] somewhat,concerned [2] concerned,amount [2] amount,data [2] data,collected [2] collected,devi Top Word Pairs in Tweet in G4:
[13] pewresearch,report [11] lrainie,pewresearch [10] emerging,economies [9] mobile,divides [6] report,mobile [6] divides,finds [6] finds,people [6] people,emerging [6] economies,trouble [6] trouble,finding Top Word Pairs in Tweet in G5:
[6] control,over [5] americans,privacy [5] privacy,concerned [5] concerned,confused [5] confused,feeling [5] feeling,lack [5] lack,control [5] over,personal [5] personal,information [4] information,pewinternet Top Word Pairs in Tweet in G6:
[2] career,honor [2] honor,share [2] share,reviews [2] reviews,such [2] such,splendid [2] splendid,people [2] people,hrheingold [2] hrheingold,davidstaley8 [2] davidstaley8,lrainie Top Word Pairs in Tweet in G8:
[2] provide,respite [2] respite,tracking Top Word Pairs in Tweet in G9:
[5] shorter,respondents [5] respondents,much [5] much,less [5] less,concerned [5] concerned,protecting [5] protecting,privacy [4] drphilgoff,shorter Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Mentioned in Entire Graph:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: