five

Stack overflow favorite bipartite temporal network

收藏
NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://data.mendeley.com/datasets/8yj6m52m5j
下载链接
链接失效反馈
官方服务:
资源简介:
This is the bipartite Stack Overflow favorite network. Stack Overflow is the main question and answer website of the Stack Exchange Network. The nodes represent users and posts. An undirected, unweighted edge denotes that a user has marked a post as a favorite. More information about the network is provided here: http://konect.uni-koblenz.de/networks/stackexchange-stackoverflow Files: meta.stackexchange-stackoverflow -- Metadata about the network out.stackexchange-stackoverflow -- The adjacency matrix of the network in space separated values format, with one edge per line The meaning of the columns in out.stackexchange-stackoverflow 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:stackexchange-stackoverflow, title = {Stack Overflow network dataset -- {KONECT}}, month = oct, year = {2014}, url = {http://konect.uni-koblenz.de/networks/stackexchange-stackoverflow} } @misc{konect:stackexchange, title = {{Stack} {Exchange} {Data} {Explorer}}, author = {{Stack Exchange Inc.}}, year = {2011}, howpublished = {\url{http://data.stackexchange.com/}}, } @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}, }
创建时间:
2018-02-25
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作