<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/metodologiczne-inspiracje-2016/"></div></div><div><a data-url="https://www.r-bloggers.com/metodologiczne-inspiracje-2016/" data-counturl="https://www.r-bloggers.com/metodologiczne-inspiracje-2016/" data-count="horizontal" data-text="Metodologiczne inspiracje 2016" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://bc.bojanorama.pl/2016/10/metodologiczne-inspiracje-2016/"> R – Brokering Closure</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p><em>English summary: On 2016-09-28 I presented an application of methods of estimating Exponential-family Random Graph Models from ego-centrically sampled data. Conference was in Polish. See <a target="_blank" href="https://metody.org/konferencje/metodologiczne-inspiracje-2016/program-konferencji/">the program</a> and <a target="_blank" href="https://metodydotorg.files.wordpress.com/2016/10/coc59b-z-niczego-czyli-czego-moc5bcemy-sic499-dowiedziec487-o-sieciach-spoc582ecznych-na-podstawie-danych-sondac5bcowych-12.pdf">my slides</a> for further details.</em></p>
<p><a target="_blank" href="https://i0.wp.com/bc.bojanorama.pl/wp-content/uploads/2016/10/egonetworks.png"><img sizes="(max-width: 300px) 100vw, 300px" alt="egonetworks" class="wp-image-859" src="https://i2.wp.com/bc.bojanorama.pl/wp-content/uploads/2016/10/egonetworks-300x225.png?resize=300%2C225" data-recalc-dims="1"></a></p>
<p>W zeszłym tygodniu (28-30.09.2016) miała miejsce konferencja <em>Metodologiczne Inspiracje 2016. Badania ilościowe w naukach społecznych: wyzwania i problemy</em> organizowana przez Instytut Filozofii i Socjologii PAN oraz Komitet Socjologii PAN. Program konferencji można podejrzeć <a target="_blank" href="https://metody.org/konferencje/metodologiczne-inspiracje-2016/program-konferencji/">tutaj</a>.</p>
<p>W swojej prezentacji (<em>Coś z niczego, czyli czego możemy się dowiedzieć o sieciach społecznych na podstawie danych sondażowych</em>) opowiadałem o metodach szacowania <a target="_blank" href="https://en.wikipedia.org/wiki/Exponential_random_graph_models">modeli ERG</a> na podstawie danych zebranych w sposób ego-centryczny. Slajdy do pobrania <a target="_blank" href="https://metodydotorg.files.wordpress.com/2016/10/coc59b-z-niczego-czyli-czego-moc5bcemy-sic499-dowiedziec487-o-sieciach-spoc582ecznych-na-podstawie-danych-sondac5bcowych-12.pdf">tutaj (PDF)</a>.</p>
<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="https://www.r-bloggers.com/metodologiczne-inspiracje-2016/"></div></div><div><a data-url="https://www.r-bloggers.com/metodologiczne-inspiracje-2016/" data-counturl="https://www.r-bloggers.com/metodologiczne-inspiracje-2016/" data-count="vertical" data-text="Metodologiczne inspiracje 2016" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://bc.bojanorama.pl/2016/10/metodologiczne-inspiracje-2016/"> R – Brokering Closure</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a title="The R Project for Statistical Computing" rel="nofollow" href="https://www.r-project.org/">R</a> news and <a title="R tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=tutorial">tutorials</a> on topics such as: <a title="Data science" rel="nofollow" href="https://www.r-bloggers.com/?s=data%20science">Data science</a>, <a title="Big Data" rel="nofollow" href="https://www.r-bloggers.com/?s=Big%20Data">Big Data, <a title="R jobs" rel="nofollow" href="https://www.r-users.com/">R jobs</a>, visualization (<a title="ggplot and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=ggplot2">ggplot2</a>, <a title="Boxplots using lattice and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=boxplot">Boxplots</a>, <a title="Maps and gis" rel="nofollow" href="https://www.r-bloggers.com/?s=map">maps</a>, <a title="Animation in R" rel="nofollow" href="https://www.r-bloggers.com/?s=animation">animation</a>), programming (<a title="RStudio IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=RStudio">RStudio</a>, <a title="Sweave and literate programming" rel="nofollow" href="https://www.r-bloggers.com/?s=sweave">Sweave</a>, <a title="LaTeX in R" rel="nofollow" href="https://www.r-bloggers.com/?s=LaTeX">LaTeX</a>, <a title="SQL and databases" rel="nofollow" href="https://www.r-bloggers.com/?s=SQL">SQL</a>, <a title="Eclipse IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=eclipse">Eclipse</a>, <a title="git and github, Version Control System" rel="nofollow" href="https://www.r-bloggers.com/?s=git">git</a>, <a title="Large data in R using Hadoop" rel="nofollow" href="https://www.r-bloggers.com/?s=hadoop">hadoop</a>, <a title="Web Scraping of google, facebook, yahoo, twitter and more using R" rel="nofollow" href="https://www.r-bloggers.com/?s=Web+Scraping">Web Scraping</a>) statistics (<a title="Regressions and ANOVA analysis tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=regression">regression</a>, <a title="principal component analysis tutorial" rel="nofollow" href="https://www.r-bloggers.com/?s=PCA">PCA</a>, <a title="Time series" rel="nofollow" href="https://www.r-bloggers.com/?s=time+series">time series</a>, <a title="finance trading" rel="nofollow" href="https://www.r-bloggers.com/?s=trading">trading</a>) and more...
<img height="1" alt="" width="1" src="http://feeds.feedburner.com/~r/RBloggers/~4/7FHJ3rm4_NY"></a></div>