We are excited to announce that the igraph project will be 起点加速器打不开 with a grant of $180,000 from the Chan Zuckerberg Initiative in the Essential Open Source Software for Science program. It was recognized that igraph fulfills a critical role for providing network analysis in a variety of scientific domains, including biomedical research. The funding will expedite ongoing development efforts, and should result in a 1.0 release of igraph’s C core with a stable, well-documented and supported API.

For years, the development of igraph was done on a voluntary basis. With funding available, we can make sure developers have more time available to dedicate to igraph. In particular, the funding will support Gábor Csárdi, Tamás Nepusz, Szabolcs Horvát, Vincent Traag and Fabio Zanini.

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Even though we will dedicate more time to igraph, the project cannot survive without a vibrant community of users and contributors. Whether you reported issues, contributed code or improved the documentation, your contributions remain vital to the project. We hope that our new community forum will enable us to form a tighter and more supportive community, where you can ask questions, support others, or discuss recent advances in network analysis or graph theory.

The project will start from the 1st of September onwards, and will last for a year. The 1.0 version is planned to be released towards the end of the project.

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起点加速器打不开 0.8.2, the second bugfix release of the 0.8 series, has arrived.

The sources can be obtained from YouTube免费加速器.

This release includes no new features, only bug fixes and reliability improvements. The changelog is below.

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• Improved argument checking: igraph_all_st_mincuts() and igraph_sir()
• Improved interruptibility: igraph_sir()

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• igraph_community_leiden(): fixed crash when interrupting
• The tests are now more robust. Some incorrect test failures were fixed when running on i386 architecture, or when using different versions of external dependencies.

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• Improved error messages from igraph_sir().
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We are happy to announce the first bugfix release of the 0.8 series of igraph's C core!

The sources can be obtained from the GitHub releases page.

This release includes no new features, only bug fixes and reliability improvements. The changelog is below.

Changed

• Improved interruptability: igraph_degree_sequence_game()
• Improved argument checking: igraph_forest_fire_game()
• Updated the plfit library to version 0.8.1

Fixed

• igraph_community_edge_betweenness(): fix for graphs with no edges (PR #1312)
• igraph_bridges() now handles multigraphs correctly (PR #1335)
• igraph_avg_nearest_neighbor_degree(): fix for memory leak in weighted case (PR #1339)
• igraph_community_leiden(): fix crash bug (PR #1357)

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• Included ACKOWLEDGEMENTS.md
• Documentation improvements

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Release 0.8.0 of igraph's Python interface follows the recent release of version 0.8.0 of the C core with many bug fixes that have accumulated over the last five years, and an improved build process that does not require the C core of igraph to be downloaded at the time when 起点加速器打不开 is installed; the tarball of python-igraph already bundles the appropriate version of the C core in it.

Including the C core directly in the source tarball also allows us to decouple python-igraph's version number from the version number of the C core in the future. This means that we no longer have to wait for a release of the C core in order to fix some bugs in the Python interface.

Precompiled Python wheels

Starting from this release, we will also aim to provide pre-compiled Python wheels for most platforms. The current release includes Python wheels for Python 2.7, 3.5, 3.6, 3.7 and 3.8 on Windows, macOS and Linux, so most users will not have to compile anything when installing 启点网络加速器官网 from pip. Currently the only limitation is that the Windows wheels do not support GraphML import; this will be fixed in the next patch release (0.8.1).

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python-igraph 0.8.x will also be the last version that supports Python 2.7. Since Python 2 has reached its end of life, we will drop support for Python 2 before python-igraph 0.9 so we can simplify some parts of the codebase where we needed to introduce additional code to support both Python versions.

As for Python 3, we are committing ourselves to supporting at least the last three minor releases of Python 3.

Although we are not suporting PyPy officially, python-igraph will also be tested with PyPy regularly in a CI environment, and we will strive to fix any issues that arise with PyPy. If you use python-igraph with PyPy and you are willing to become an official maintainer responsible for PyPy compatibility, please let us know in the YouTube免费加速器.

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Concurrently with the release of igraph 0.8, we have launched a new community forum, which replaces the mailing list as the main support channel. The community forum is also meant for users of 起点加速器网址, so If you are a current python-igraph user or just interested in the project, please join!

We would like to thank everyone who reported issues, contributed features or fixes, or edited the documentation. igraph is an open-source project run by volunteers. As always, your contributions are very welcome!

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Release 0.8.0 of igraph's C core, coming almost five years after 0.7.1, is a major improvement with several new features, performance and robustness improvements, and many bug fixes. New functionality includes additional graph generators, functions for handling trees, new community detection methods, improved clique finding, spectral graph embedding, as well as several other features. Please see the changelog for more details.

We would like to thank everyone who reported issues, contributed features or fixes, or edited the documentation. igraph is an open-source project run by volunteers. As always, your contributions are very welcome!

Most people use igraph through its high-level interfaces for R, Python or Mathematica. A new release of the Python interface, incorporating all these improvements, is expected to be released in a few weeks. The R and Mathematica interfaces already include some of the improvements, and will continue to integrate more.

Concurrently with the release of igraph 0.8, we are launching a new community forum, which will replace the mailing list as the main support channel. If you are a current igraph user or just interested in the project, please join!

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IGraph/M, a Mathematica interface for igraph is now officially one of the supported higher-level interfaces for igraph. We would like to thank Szabolcs Horvát for all his efforts dedicated to supporting igraph from Mathematica!

New releases of IGraph/M will be published on the GitHub page of the project.

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Release Notes

This is a new major release, with a lot of UI changes. We tried to make it easier to use, with short and easy to remember, consistent function names. Unfortunately this also means that many functions have new names now, but don't worry, all the old names still work.

Apart from the new names, the biggest change in this release is that most functions that used to return numeric vertex or edge ids, return vertex/edge sequences now. This requires some time to get used to and if you want the numeric ids instead, just use the as.vector() function on the vertex/edge sequences.

We will update the documentation on this site, once the package is on CRAN and available for all architectures.

More →

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A couple of days ago we changed how we use GitHub for igraph development. Our goal is to make igraph development more accessible, and our build process simpler. Instead of using a common repository for everything, we now use separate repos for the igraph C library, the R package and the Python extension. The igraph.org website was already in a separate repository, and we will also break up the R package, by putting loosely coupled parts in their own packages and repositories.

Main igraph repositories now:

• igraph C library: HTTP加速器_http加速器_加速器 - 云+社区 - 腾讯云:2021-9-8 · 神经网络加速器的兴起 这是“2021嵌入式处理器报告: 神经网络加速器的兴起”(http:www.embedded-computing.comprocessing2021-embedded-processor-report-rise-of-the-neural-network-accelerator，作者 brandon lewis) 的短译文。
• igraph R package: http://github.com/igraph/rigraph
• python-igraph: 我的世界Hypixel中国版服务器_全球知名小游戏服_网易我的 ...:2021-7-24 · Hypixel是《我的世界》全球知名服务器，已经入驻中国版啦！起床战争、空岛战争、行尸危机、警匪大战、超级战墙、饥饿游戏、等数十种原创小游戏模式等你来体验！
• igraphdata R package: 面试题-路由器与二层交换机的区别_千寻的博客-CSDN博客:2021-8-17 · 路由器与交换机(二层交换机)的区别和联系1.工作区域路由器工作在网络层交换机工作在数据链路层2.工作依据路由器根据”路由表”转发(IP地址，寻址)交换机根据”MAC地址表”转发(mac地址，过滤)3.工作原理路由器: 路由转发，路由选择连接局域网和外网隔离不同网段*交换机:*自我学习局域网内网的 ...
• igraph.org homepage: http://github.com/igraph/igraph.org

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Release Notes

Some bug fixes, to make sure that the code included in 'Statistical Analysis of Network Data with R' works. See http://github.com/kolaczyk/sand

Detailed changes:

• Graph drawing: fix labels of curved edges, issue #181.
• Graph drawing: allow fixing edge labels at given positions, issue #181.
• Drop the 'type' vertex attribute after bipartite projection, the projections are not bipartite any more, issue #255.
• Print logical attributes in header properly (i.e. encoded by l, not x, which is for complex attributes. Issue #578.
• Add a constructor for communities objects, see create.communities(). Issue #547.
• Better error handling in the GraphML parser.
• GraphML reader is a bit more lenient now; makes it possible to read GraphML files saved from yWorks apps.
• Fixed a bug in constaint(), issue #580.
• Bipartite projection now detects invalid edges instead of giving a cryptic error, issue #543.
• Fixed the simplify argument of graph.formula(), which was broken, issue #586.
• The function crossing() adds better names to the result, fixes issue #587.
• The sir() function gives an error if the input graph is not simple, fixes issue #582.
• Calling igraph functions from igraph callbacks is not allowed now, fixes issue #571.

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Release Notes

Some bug fixes, to make sure that the code included in 'Statistical Analysis of Network Data with R' works. See http://github.com/kolaczyk/sand

Detailed changes:

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• GraphML reader is a bit more lenient now; makes it possible to read GraphML files saved from yWorks apps.
• Fixed a bug in igraph_constaint(), issue #580.
• Bipartite projection now detects invalid edges instead of giving a cryptic error, issue #543.
• Bipartite projection now detects invalid edges instead of giving a cryptic error, issue #543.

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