The graph represents a network of 1,037 Twitter users whose recent tweets contained "#Durres", 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 Tuesday, 26 November 2019 at 04:57 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 27-minute period from Sunday, 17 November 2019 at 09:26 UTC to Tuesday, 26 November 2019 at 04:54 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 : 1037
Unique Edges : 1259
Edges With Duplicates : 283
Total Edges : 1542
Self-Loops : 96
Reciprocated Vertex Pair Ratio : 0.000758725341426404
Reciprocated Edge Ratio : 0.00151630022744503
Connected Components : 35
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 993
Maximum Edges in a Connected Component : 1492
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.096986
Graph Density : 0.0012277396558978
Modularity : 0.555628
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,037 Twitter users whose recent tweets contained "#Durres", 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 Tuesday, 26 November 2019 at 04:57 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 27-minute period from Sunday, 17 November 2019 at 09:26 UTC to Tuesday, 26 November 2019 at 04:54 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 : #Durres
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[548] #earthquake,#durres [517] first,reported [517] reported,damages [516] #durres,first [516] damages,#albania [372] 10,km [314] #durrës,#albania [311] km,n [311] n,#durrës [288] min,ago Top Word Pairs in Tweet in G1:
[437] #earthquake,#durres [436] #durres,first [436] first,reported [436] reported,damages [436] damages,#albania [52] #durres,#albania [32] video,edificio [32] edificio,completamente [32] completamente,colapsado [32] colapsado,#durres Top Word Pairs in Tweet in G2:
[264] #durrës,#albania [246] min,ago [228] m6,3 [228] strikes,10 [228] 10,km [228] km,n [228] n,#durrës [228] #albania,11 [228] 11,min [150] felt,#earthquake Top Word Pairs in Tweet in G3:
[80] #durres,#albania [71] 6,4 [64] 4,mww [40] primeras,imágenes [39] #albania,#eartquake [36] 6,3 [35] #arnavutluk,#durres [35] #durres,çok [35] çok,korkunç [35] korkunç,bir Top Word Pairs in Tweet in G4:
[118] 10,km [63] km,n [63] n,#durrës [60] district,#durrës [60] #durrës,depth [60] feel,earthquake [60] earthquake,tell [60] tell,#eqvt [60] #eqvt,#tërmet [60] #tërmet,#земјотрес Top Word Pairs in Tweet in G5:
[25] 6,4 [21] #durres,#albania [17] #tirane,#durres [16] #earthquake,#durres [12] #durres,first [12] first,reported [12] reported,damages [12] damages,#albania [11] arnavutlukta,meydana [11] meydana,gelen Top Word Pairs in Tweet in G6:
[5] min,ago [4] #durres,#albania [4] m3,1 [4] #earthquake,#tërmet [4] strikes,19 [4] 19,km [4] km,nw [4] nw,#durrës [4] #durrës,#albania [4] bicycle,durres Top Word Pairs in Tweet in G7:
[9] #breakingnews,strong [9] strong,#earthquake [9] #earthquake,felt [9] felt,#tirana [9] #tirana,#durres [9] #durres,#albania [9] #albania,3 [9] 3,54 [9] 54,reports [9] reports,6 Top Word Pairs in Tweet in G8:
[6] balkans,live [6] live,l [6] l,ove [6] ove,round [6] round,1 [6] 1,#tourism [6] #tourism,grants [6] grants,#westernbalkans6 [6] #westernbalkans6,completed [6] completed,12 Top Word Pairs in Tweet in G9:
[12] në,kohë [12] kohë,reale [12] larg,#durrës [12] #durrës,#shqipëria [12] shkarkoni,aplikacionin [12] earthquake,network [12] nga,për [12] për,të [12] të,marrë [12] marrë,njoftime Top Word Pairs in Tweet in G10:
[16] #durrës,#albania [14] #earthquake,#tërmet [12] min,ago [11] km,nw [11] nw,#durrës [10] #tërmet,m3 [10] ago,more [10] more,info [9] strikes,19 [9] 19,km Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: