---
abstract: |
    Wikipedia is the biggest encyclopedia ever created and the fifth most visited website in the world. Tens of millions of people surf it every day, seeking answers to various questions. Collective user activity on its pages leaves publicly available footprints of human behavior, making Wikipedia an excellent source for analysis of collective behavior.

    In this work, we propose a new method to analyze and retrieve collective memories, the way social groups remember and recall the past. We use the Hopfield network model as an artificial memory abstraction to build a macroscopic collective memory model. To reveal memory patterns, we analyze the dynamics of visitors activity on Wikipedia and its Web network structure. Each pattern in the Hopfield network is a cluster of Wikipedia pages sharing a common topic and describing an event that triggered human curiosity during a finite period of time. We show that these memories can be remembered with good precision using a memory network. The presented approach is scalable and we provide a distributed implementation of the algorithm.
author:
- 'Volodymyr Miz, Kirell Benzi, Benjamin Ricaud, and Pierre Vandergheynst'
bibliography:
- 'sample-bibliography.bib'
title: 'Wikipedia graph mining: dynamic structure of collective memory'
---

&lt;ccs2012&gt; &lt;concept&gt; &lt;concept\_id&gt;10002951.10002952.10003219.10003221&lt;/concept\_id&gt; &lt;concept\_desc&gt;Information systems Wrappers (data mining)&lt;/concept\_desc&gt; &lt;concept\_significance&gt;500&lt;/concept\_significance&gt; &lt;/concept&gt; &lt;concept&gt; &lt;concept\_id&gt;10002951.10003260.10003277.10003280&lt;/concept\_id&gt; &lt;concept\_desc&gt;Information systems Web log analysis&lt;/concept\_desc&gt; &lt;concept\_significance&gt;500&lt;/concept\_significance&gt; &lt;/concept&gt; &lt;concept&gt; &lt;concept\_id&gt;10003033.10003083.10003094&lt;/concept\_id&gt; &lt;concept\_desc&gt;Networks Network dynamics&lt;/concept\_desc&gt; &lt;concept\_significance&gt;500&lt;/concept\_significance&gt; &lt;/concept&gt; &lt;concept&gt; &lt;concept\_id&gt;10003120.10003130.10003233.10003301&lt;/concept\_id&gt; &lt;concept\_desc&gt;Human-centered computing Wikis&lt;/concept\_desc&gt; &lt;concept\_significance&gt;300&lt;/concept\_significance&gt; &lt;/concept&gt; &lt;/ccs2012&gt;
