twitter_higgs — Twitter, Higgs boson (2012)
- Description
Networks of Twitter users involved in the spreading of the news of the discovery of a new particle with the features of the Higgs boson, announced at CERN on 4 July 2012, assembled by M. De Domenico, A. Lima, P. Mougel and M. Musolesi. The data comprise the messages posted on Twitter about the discovery between 1 and 7 July 2012, collected using the keywords "lhc", "cern", "boson" and "higgs", and the follower relationships among the users who posted them. Nodes are users, with anonymized identifiers. All networks are directed, and record the observed actions, i.e. who follows, retweets, replies to, or mentions whom.
social: follower network, where an edge $i \to j$ indicates that user $i$ follows user $j$.retweet: an edge $i \to j$ indicates that user $i$ retweeted user $j$.reply: an edge $i \to j$ indicates that user $i$ replied to user $j$.mention: an edge $i \to j$ indicates that user $i$ mentioned user $j$.activity: temporal network of all retweets, replies and mentions, with one edge per interaction.
The networks have the following properties:
name: the anonymized user identifier, consistent across the networks.weight(retweet,reply,mention): the number of interactions from user $i$ to user $j$.timestamp(activity): the time of the interaction, as a UNIX timestamp in seconds.interaction(activity): the type of interaction:RT(retweet),MT(mention) orRE(reply).
- Tags
- Social Online Weighted Multilayer
- Citation
-
- M. De Domenico, A. Lima, P. Mougel, M. Musolesi, "The Anatomy of a Scientific Rumor." Scientific Reports 3, 2980 (2013). arxiv:1301.2952 10.1038/srep02980 Sci-Hub
- Upstream URL OK
- http://snap.stanford.edu/data/higgs-twitter.html
- Networks
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Tip: click on a column header to sort the list, or hover over it for a description.
Column legend
- $\left<k\right>$
- Mean degree
- $\sigma_k$
- Standard deviation of the degrees
- $\lambda_h$
- Largest eigenvalue of the Hashimoto (non-backtracking) matrix
- $\tau$
- Random walk mixing time
- $r$
- Degree assortativity
- $c$
- Global clustering coefficient
- $\oslash$
- (Pseudo-) diameter
- $S$
- Relative size of the largest component
- NPs
- Node properties
- EPs
- Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv social 456,626 14,855,842 32.53 357.86 636.15 84.49 -0.09 0.01 12 1.00 Directed Unipartite name 32.9 MiB 65.6 MiB 64.4 MiB 56.4 MiB retweet 256,491 328,132 1.28 38.96 54.07 1242.30 -0.07 0.00 21 0.87 Directed Unipartite name weight 5.2 MiB 7.8 MiB 7.6 MiB 6.7 MiB reply 38,918 32,523 0.84 8.97 7.83 498.95 -0.05 0.00 30 0.33 Directed Unipartite name weight 785 KiB 1.1 MiB 1.0 MiB 983 KiB mention 116,408 150,818 1.30 40.53 48.38 251.19 -0.07 0.00 22 0.79 Directed Unipartite name weight 2.4 MiB 3.5 MiB 3.4 MiB 3.0 MiB activity 304,691 563,069 1.85 77.54 80.21 1014.63 -0.06 0.00 20 0.90 Directed Unipartite name timestamp interaction 7.4 MiB 11.1 MiB 10.8 MiB 9.8 MiB - Ridiculograms*