This is the overview page for the incoming/outgoing citation flow of many computer science conferences, using data from microsoft academic graph. For a general discussion of why, what and how, see the overview blog post. For other visualizations on this dataset, see the citation survival summary page, or links for individual conferences below.

The colored half-wheels above summarizes the overall amount of citation between a conference in question (gray node in the center) and the top 25 other conferences or journals that cites or are cited by this venue. The thickness of the edges denote the amount of citations in either direction; the blue edges denote references, or incoming information flow for this conference; the red edges denote citations, or outgoing infomration flow. The node colors are shaded and sorted by the ratio of incoming vs outgoing information flow – the node corresponding to the conference itself is white, due to equal in/out citations and with usually thick edges.

Left to right: NIPS in machine learning, PLDI on programming language design and implementation, and WSDM on web search and data mining. Click on individual conferences above or below for details.

You can either browse through a list of all conferences, or navigate using the conference list grouped by topical area below.

#### Signal and speech processing

<td>
<a href=//cm.cecs.anu.edu.au/citation/INTERSPEECH>
INTERSPEECH - Conference of the International Speech Communication Association (1988-2016)
<img align=center width=250 src="/img/citation/INTERSPEECH/INTERSPEECH_mini_graph.png">
<a>
</td>
<td>
<a href=//cm.cecs.anu.edu.au/citation/ISIT>
ISIT - International Symposium on Information Theory (1973-2015)
<img align=center width=250 src="/img/citation/ISIT/ISIT_mini_graph.png">
<a>
</td>


#### July 16, 2016715 words

Categories
Tags
social media datasci graph citations

#### Tags and Categories

##### Problems
social media popularity privacy language vision citations
##### Methods
deep learning stochastic process visualization
##### Meta
research data code datasci news group-activity
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