The graph represents a network of 8,542 Twitter users whose recent tweets contained "Ofcom", 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, 25 January 2021 at 15:39 UTC.
The tweets in the network were tweeted over the 7-day, 20-hour, 0-minute period from Sunday, 17 January 2021 at 19:25 UTC to Monday, 25 January 2021 at 15:26 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 : 8542
Unique Edges : 14079
Edges With Duplicates : 6567
Total Edges : 20646
Number of Edge Types : 5
Tweet : 620
Replies to : 3524
Mentions : 7490
MentionsInRetweet : 4086
Retweet : 4926
Self-Loops : 668
Reciprocated Vertex Pair Ratio : 0.0238519986785596
Reciprocated Edge Ratio : 0.0465926690758906
Connected Components : 647
Single-Vertex Connected Components : 304
Maximum Vertices in a Connected Component : 7140
Maximum Edges in a Connected Component : 19211
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.231106
Graph Density : 0.000212398438087459
Modularity : 0.584183
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 8,542 Twitter users whose recent tweets contained "Ofcom", 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, 25 January 2021 at 15:39 UTC.
The tweets in the network were tweeted over the 7-day, 20-hour, 0-minute period from Sunday, 17 January 2021 at 19:25 UTC to Monday, 25 January 2021 at 15:26 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 : Ofcom
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:
[885] fox,news [683] sharp,bbc [650] paul,dacre [626] take,over [624] ofcom,government [617] over,ofcom [609] dacre,still [608] bbc,dacre [607] still,rumoured [607] rumoured,take Top Word Pairs in Tweet in G1:
[77] ofcom,asa_uk [70] price,rise [64] virginmedia,ofcom [50] considered,reference [50] reference,perpetrator [50] perpetrator,woman [50] woman,impact [50] impact,accuracy [50] accuracy,impartiality [50] impartiality,story Top Word Pairs in Tweet in G2:
[365] fox,news [325] charge,ofcom [323] dacre,charge [305] paul,dacre [302] ofcom,licensed [302] licensed,murdoch [302] murdoch,news [302] news,channel [302] channel,launch [302] launch,uk Top Word Pairs in Tweet in G3:
[105] dr,hilary [105] gmb,urge [104] lbc,talkradio [104] going,reporting [104] reporting,dr [104] hilary,ofcom [104] ofcom,comments [104] comments,regarding [104] regarding,vaccine [104] vaccine,safety Top Word Pairs in Tweet in G4:
[591] sharp,bbc [522] take,over [522] over,ofcom [521] bbc,dacre [521] dacre,still [521] still,rumoured [521] rumoured,take [521] ofcom,government [521] government,led [521] led,newspaper Top Word Pairs in Tweet in G5:
[229] impartiality,according [229] according,ofcom [228] news,provider [228] provider,impartiality [223] become,lowest [223] lowest,ranking [222] congratulations,gary [222] gary,robertson [222] robertson,bbcgaryr [222] bbcgaryr,sterling Top Word Pairs in Tweet in G6:
[63] lbc,ofcom [55] lbc,nickferrarilbc [50] red,flare [50] jody,swingler [48] nick,ferrari [47] ofcom,uklabour [47] report,ofcom [44] ferrari,lbc [42] flare,correct [42] correct,privateeyenews Top Word Pairs in Tweet in G7:
[155] paul,dacre [139] daily,mail [130] appointed,head [130] head,bbc [129] regulator,ofcom [128] editor,daily [128] means,business [127] far,more [127] more,important [127] important,person Top Word Pairs in Tweet in G8:
[40] dancing,ice [28] ofcom,complaints [25] rufus,hound [22] british,tv [21] find,sean [21] sean,hannity [21] hannity,tucker [21] tucker,carlson [21] carlson,british [21] complaints,over Top Word Pairs in Tweet in G9:
[198] fox,news [184] made,possible [184] possible,compliant [184] compliant,media [184] media,organisations [184] organisations,fox [184] news,refusing [184] refusing,cover [184] cover,certain [184] certain,stories Top Word Pairs in Tweet in G10:
[18] due,accuracy [18] due,impartiality [17] broadcasters,licenses [17] licenses,abide [17] abide,due [17] impartiality,due [15] news,broadcasters [14] imagine,countries [12] countries,hold [12] hold,higher Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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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 G10: