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Google web graph

Creators: Leskovec, Jure; Lang, Kevin J.; Dasgupta, Anirban; Mahoney, Michael W.
Publication Date: 2002
Creators: Leskovec, Jure; Lang, Kevin J.; Dasgupta, Anirban; Mahoney, Michael W.

The Google Web Graph dataset offers a detailed representation of the web’s hyperlink structure as captured in 2002. In this dataset, nodes correspond to individual web pages, and directed edges represent hyperlinks from one page to another. This structure is particularly valuable for studying web connectivity, page importance algorithms like PageRank, and the overall topology of the internet during that period. In total, the dataset has a size of 0,02 GB and comprises 875,713 nodes and 5,105,039 directed edges, reflecting the extensive interlinking characteristic of the early 2000s web. Structurally, the dataset is presented as a single directed graph where each node represents a web page, and each directed edge denotes a hyperlink from one page to another. This format facilitates analyses of web page connectivity, identification of influential pages, and exploration of community structures within the web.

Social circles: Google+

Creators: McAuley, Julian; Leskovec, Jure
Publication Date: 2012
Creators: McAuley, Julian; Leskovec, Jure

This dataset consists of ‘circles’ from Google+. Google+ data was collected from users who had manually shared their circles using the ‘share circle’ feature. The dataset includes node features (profiles), circles, and ego networks. The dataset includes 107,614 nodes and 13,673,453 edges, providing valuable insights into the structure and characteristics of social connections.

It has a size of 0,4 GB and is structured into:

  • Node features (profiles): Anonymized user profile information, where specific attributes are replaced with generic labels.

  • Circles: Lists of friends grouped by users, representing their social circles.

  • Ego networks: Subgraphs centered around individual users (egos), including their direct friends and the connections among those friends.

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