You tube item liked, time stamped processed data set

Published: 6 January 2018| Version 1 | DOI: 10.17632/7xjsyy8ym7.1
Contributor:
Khushnood Abbas

Description

This directory contains the TSV and related files of the youtube-u-growth network: This is the social network of YouTube users and their friendship connections. More information about the network is provided here: http://konect.uni-koblenz.de/networks/youtube-u-growth Files: meta.youtube-u-growth -- Metadata about the network out.youtube-u-growth -- The adjacency matrix of the network in space separated values format, with one edge per line The meaning of the columns in out.youtube-u-growth are: First column: ID of from node Second column: ID of to node Fourth column: timestamp of the edge Complete documentation about the file format can be found in the KONECT handbook, in the section File Formats, available at: http://konect.uni-koblenz.de/publications All files are licensed under a Creative Commons Attribution-ShareAlike 2.0 Germany License. For more information concerning license visit http://konect.uni-koblenz.de/license. Use the following References for citation: @MISC{konect:2014:youtube-u-growth, title = {YouTube network dataset -- {KONECT}}, month = oct, year = {2014}, url = {http://konect.uni-koblenz.de/networks/youtube-u-growth} } @phdthesis{konect:mislove2, title = {Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems}, author = {Alan Mislove}, school = {Rice University}, year = {2009}, } @inproceedings{konect, title = {{KONECT} -- {The} {Koblenz} {Network} {Collection}}, author = {Jérôme Kunegis}, year = {2013}, booktitle = {Proc. Int. Conf. on World Wide Web Companion}, pages = {1343--1350}, url = {http://userpages.uni-koblenz.de/~kunegis/paper/kunegis-koblenz-network-collection.pdf}, url_presentation = {http://userpages.uni-koblenz.de/~kunegis/paper/kunegis-koblenz-network-collection.presentation.pdf}, }

Files

Steps to reproduce

Here is R code to reproduce the data :) https://github.com/khushnood/Phd/blob/master/YouTubeDataPreparation.R

Institutions

University of Electronic Science and Technology of China - Qingshuihe Campus

Categories

Data Science, Machine Learning, Big Data

Licence