The graph represents a network of 17,686 Twitter users whose recent tweets contained "Pope Francis", 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 Friday, 23 October 2020 at 14:45 UTC.
The tweets in the network were tweeted over the 21-hour, 35-minute period from Thursday, 22 October 2020 at 15:27 UTC to Friday, 23 October 2020 at 13:03 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 : 17686
Unique Edges : 21097
Edges With Duplicates : 2347
Total Edges : 23444
Number of Edge Types : 5
Retweet : 13348
MentionsInRetweet : 3013
Mentions : 2016
Tweet : 3643
Replies to : 1424
Self-Loops : 3749
Reciprocated Vertex Pair Ratio : 0.00558362137729327
Reciprocated Edge Ratio : 0.0111052353252247
Connected Components : 2939
Single-Vertex Connected Components : 1858
Maximum Vertices in a Connected Component : 11936
Maximum Edges in a Connected Component : 17351
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.415796
Graph Density : 6.0458427062279E-05
Modularity : 0.802157
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 17,686 Twitter users whose recent tweets contained "Pope Francis", 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 Friday, 23 October 2020 at 14:45 UTC.
The tweets in the network were tweeted over the 21-hour, 35-minute period from Thursday, 22 October 2020 at 15:27 UTC to Friday, 23 October 2020 at 13:03 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 : Pope Francis
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:
[15190] pope,francis [5887] same,sex [5531] civil,unions [3443] cruelty,highest [3440] highest,form [3388] sex,civil [3051] francis,calls [2715] family,separation [2678] policy,cruelty [2647] calls,trump Top Word Pairs in Tweet in G1:
[2202] pope,francis [2172] cruelty,highest [2172] highest,form [2163] francis,calls [2163] calls,trump [2163] trump,family [2163] family,separation [2163] separation,border [2163] border,policy [2163] policy,cruelty Top Word Pairs in Tweet in G2:
[1448] pope,francis [599] same,sex [451] civil,unions [323] sex,civil [160] civil,union [151] francis,calls [94] support,same [93] sex,unions [90] sex,couples [84] cruelty,highest Top Word Pairs in Tweet in G3:
[1259] pope,francis [1132] civil,unions [460] same,sex [347] sex,civil [313] deepest,sadness [310] regarding,civil [293] teaching,church [291] attributed,pope [290] private,opinions [290] reported,much Top Word Pairs in Tweet in G4:
[654] pope,francis [380] same,sex [248] civil,unions [191] civil,union [156] chinese,communist [156] communist,party [156] uyghur,muslim [156] muslim,population [154] human,rights [153] sent,letter Top Word Pairs in Tweet in G5:
[769] pope,francis [681] cruelty,highest [681] highest,form [643] something,christian [642] christian,cruelty [541] documentary,pope [534] children,parents [533] francis,separating [533] separating,migrant [533] migrant,children Top Word Pairs in Tweet in G6:
[438] pope,francis [315] same,sex [141] francis,call [140] call,legal [140] legal,recognition [140] recognition,same [140] sex,relationships [140] relationships,raised [140] hope,doubts [140] doubts,lgbtq Top Word Pairs in Tweet in G7:
[439] pope,francis [250] same,sex [188] sex,couples [174] civil,union [167] union,laws [167] laws,same [165] francis,calls [165] calls,civil [115] children,god [115] right,family Top Word Pairs in Tweet in G8:
[319] civil,unions [307] pope,francis [216] same,sex [174] sex,civil [122] simply,tolerating [109] francis,comments [106] makes,pope [106] comments,supporting [106] supporting,same [106] unions,today Top Word Pairs in Tweet in G9:
[340] pope,francis [292] same,sex [285] sex,civil [283] civil,unions [159] children,god [158] breaking,pope [158] documentary,francesco [158] right,family [156] unions,first [156] first,time Top Word Pairs in Tweet in G10:
[359] pope,francis [215] lgbtq,equality [214] absolutely,lgbtq [214] equality,took [214] took,great [214] great,leap [214] leap,forward [214] forward,under [214] under,pope [96] same,sex Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: