The graph represents a network of 2,161 Twitter users whose tweets in the requested range contained "mediax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 07 December 2019 at 02:04 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 96-day, 3-hour, 14-minute period from Sunday, 01 September 2019 at 04:00 UTC to Friday, 06 December 2019 at 07:14 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 : 2161
Unique Edges : 6115
Edges With Duplicates : 5425
Total Edges : 11540
Number of Edge Types : 3
Mentions : 10256
Tweet : 339
Replies to : 945
Self-Loops : 339
Reciprocated Vertex Pair Ratio : 0.0331090174966353
Reciprocated Edge Ratio : 0.0640958832725378
Connected Components : 67
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 1849
Maximum Edges in a Connected Component : 10860
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.4703
Graph Density : 0.00164447186659126
Modularity : 0.432386
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,161 Twitter users whose tweets in the requested range contained "mediax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 07 December 2019 at 02:04 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 96-day, 3-hour, 14-minute period from Sunday, 01 September 2019 at 04:00 UTC to Friday, 06 December 2019 at 07:14 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 : mediax
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:
[4567] ø,ø [3491] ø,ù [3064] ù,ø [1176] ù,ù [457] new_mediax,alwatanart_011 [422] ø,ùšø [421] new_mediax,faisal [418] ùšø,ø [412] albirjeddah,new_mediax [355] _ø,ù Top Word Pairs in Tweet in G1:
[3441] ø,ø [2598] ø,ù [2316] ù,ø [796] ù,ù [393] new_mediax,alwatanart_011 [345] ø,ùšø [336] ùšø,ø [336] new_mediax,modgovksa [335] modgovksa,new_mediax [335] alwatanart_011,#وزارة_الدفاع Top Word Pairs in Tweet in G2:
[902] ø,ø [651] ø,ù [554] ù,ø [421] new_mediax,faisal [412] albirjeddah,new_mediax [204] ù,ù [176] faisal,#البر_يحتفل_بالوطن [126] حب,الوطن [86] _ø,ù [83] ùš,ø Top Word Pairs in Tweet in G3:
[196] soqokaz,taifseason [177] جدارية,سوق [177] سوق,عكاظ [177] عكاظ,لعام [177] لعام,١٤٣٩ه [177] ١٤٣٩ه,#موسم_الطائف [177] #موسم_الطائف,#سوق_عكاظ [177] #سوق_عكاظ,soqokaz [177] taifseason,#رؤى_الفن [176] m_dabbash,جدارية Top Word Pairs in Tweet in G4:
[66] الصقارة,مريم [66] مريم,العتيبي [66] العتيبي,طلعت [66] طلعت,بنت [66] بنت,سورية [66] سورية,اقحموها [66] اقحموها,عمدا [66] عمدا,بين [66] بين,الرجال [66] الرجال,لتمثل Top Word Pairs in Tweet in G5:
[216] ø,ù [207] ø,ø [178] ù,ø [171] ù,ù [27] aljaber9,emedia_moci [27] emedia_moci,media_ksa [27] media_ksa,saudimfcom [27] saudimfcom,new_mediax [27] new_mediax,elaw_media [27] elaw_media,news24mtdayl Top Word Pairs in Tweet in G6:
[14] ø,ø [11] ø,ù [8] saudpost,ksb999 [8] ksb999,s_janoob [8] s_janoob,new_mediax [7] new_mediax,اللهم [7] ù,ø [6] yahyakumait,saudpost [5] namh11221,ali_m_zalah [5] ù,ù Top Word Pairs in Tweet in G7:
[85] ãƒ,ム[34] æ,åº [21] クリーム12月号は11月7日,木 [21] 木,発売 [21] 発売,裏表紙は横山みう [21] 裏表紙は横山みう,裏表紙 [21] 裏表紙,全国の書店でお買い求めください [21] 全国の書店でお買い求めください,11月10日には東京 [21] 11月10日には東京,ヴィレッジヴァンガード下北沢店さんでイベント開催 [21] ヴィレッジヴァンガード下北沢店さんでイベント開催,詳しくこちら Top Word Pairs in Tweet in G8:
[59] ãƒ,ム[32] 西武鉄道完全データdvd,book [32] book,sp [20] æ,æ [16] ãƒ,ッã [14] sp,をご案内すると [14] 楽天ブックス,ホビー [14] ホビー,スポーツ [14] スポーツ,美術 [14] 美術,gt Top Word Pairs in Tweet in G9:
[10] escuela,audiovisual [6] master,class [5] xvi,edición [5] edición,premio [5] premio,monseñor [5] monseñor,pellín [5] pellín,escuela [5] audiovisual,mediax_online [5] mediax_online,recibe [5] recibe,premio Top Word Pairs in Tweet in G10:
[20] mr,mediax [10] mediax,touchda8thwnda [9] hip,hop [7] hop,album [7] album,covers [6] dopest,hip [5] co,host [5] brother,mr [5] touchda8thwnda,reviewing [4] touchda8thwnda,mr Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
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Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: