The graph represents a network of 14,554 Twitter users whose recent tweets contained "Berlin lang:en", 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 Saturday, 29 August 2020 at 13:46 UTC.
The tweets in the network were tweeted over the 4-hour, 46-minute period from Saturday, 29 August 2020 at 07:35 UTC to Saturday, 29 August 2020 at 12:21 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 : 14554
Unique Edges : 21352
Edges With Duplicates : 3836
Total Edges : 25188
Number of Edge Types : 5
Retweet : 14869
Tweet : 2268
MentionsInRetweet : 4583
Mentions : 1740
Replies to : 1728
Self-Loops : 2350
Reciprocated Vertex Pair Ratio : 0.00465757330925336
Reciprocated Edge Ratio : 0.00927196177681063
Connected Components : 1353
Single-Vertex Connected Components : 715
Maximum Vertices in a Connected Component : 11525
Maximum Edges in a Connected Component : 21698
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.943833
Graph Density : 9.98043656910144E-05
Modularity : 0.721743
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 14,554 Twitter users whose recent tweets contained "Berlin lang:en", 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 Saturday, 29 August 2020 at 13:46 UTC.
The tweets in the network were tweeted over the 4-hour, 46-minute period from Saturday, 29 August 2020 at 07:35 UTC to Saturday, 29 August 2020 at 12:21 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 : Berlin lang:en
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1752] million,people [1591] largest,crowd [1545] tomorrow,speak [1523] europe,tomorrow [1468] bill,gates [1459] protesting,bill [1454] people,protesting [1441] surveillance,state [1439] authoritarian,surveillance [1437] etat,against Top Word Pairs in Tweet in G1:
[422] berlin,protest [337] protests,against [326] covid,19 [322] people,gathering [320] against,covid [313] 19,restrictions [311] live,video [307] gathering,berlin [306] video,people [302] robert,kennedy Top Word Pairs in Tweet in G2:
[1333] largest,crowd [1332] tomorrow,speak [1320] million,people [1317] europe,tomorrow [1251] speak,largest [1246] bill,gates [1239] protesting,bill [1238] people,protesting [1238] gates,bio [1238] bio,security Top Word Pairs in Tweet in G3:
[706] #berlin,germany [706] germany,#berlin2908 [641] happening,#berlin [639] mainstream,media [639] media,happening [107] protest,against [102] protests,against [95] restrictions,allowed [93] berlin,protests [92] today,covering Top Word Pairs in Tweet in G4:
[749] charles,paris [749] paris,brussels [749] brussels,nice [749] nice,munich [749] munich,berlin [749] berlin,delhi [749] delhi,banglore [749] banglore,#sweden [749] #sweden,tired [3] #berlin,germany Top Word Pairs in Tweet in G5:
[62] 29,08 [45] berlin,today [39] covid,19 [26] against,covid [26] protest,berlin [22] berlin,protest [22] protest,against [21] berlin,police [20] protests,against [20] against,coronavirus Top Word Pairs in Tweet in G6:
[280] merkel,government [266] #berlin2908,#merkelmussweg [237] #merkelmussweg,#berlin [224] peaceful,protesters [207] against,merkel [189] #berlinprotest,#merkelmussweg [163] protesters,berlin [154] attend,against [145] thousands,peaceful [142] government,#berlin2908 Top Word Pairs in Tweet in G7:
[361] going,berlin [85] million,people [71] robert,kennedy [69] berlin,tomorrow [61] berlin,london [56] mass,freedom [56] freedom,protests [56] protests,berlin [56] london,#greatawakeningworldwide [51] karluskap,karli Top Word Pairs in Tweet in G8:
[157] far,right [139] protest,against [97] covid,19 [88] social,distancing [84] corona,skeptic [84] skeptic,demo [80] mass,protest [79] restrictions,allowed [79] allowed,go [79] go,ahead Top Word Pairs in Tweet in G9:
[157] far,right [127] taking,place [126] people,berlin [125] berlin,need [125] public,health [124] black,people [124] need,take [124] take,special [124] special,care [124] care,today Top Word Pairs in Tweet in G10:
[384] chinese,foreign [384] foreign,minister [371] minister,wang [359] #ipac,members [359] members,margaretebause [359] margaretebause,gydej [359] gydej,michael [359] michael,brand [359] brand,sign [359] sign,joint Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: