[1] Previously she worked in Hewlett-Packard's Information Dynamics Lab on research projects relating to network constructed from large data sets.

In 1994–1995 she was undergraduate research assistant at Caltech working on designing an electrostatic solar wind concentrator for the Genesis mission.

While writing her Ph.D. thesis named "Network Dynamics: The World Wide Web" at Stanford she also worked with Xerox PARC researchers and modeled growth and search processes of the Internet.

[3] Adamic worked for four years in Hewlett Packard labs as a research scientist where she studied networks created from large data sets, such as studying medical literature for gene-disease connections and modelling search processes on real-world social networks.

Together with Eytan Adar she holds U.S. patent 07162522 on User profile classification by web usage analysis.

The method allows to predict user attributes (demographic information) based on an analysis of accessed web pages.

For instance, using graph and text mining techniques together with her colleagues, she analyzed the usage patterns of Twitter during the House, Senate and gubernatorial midterm elections in the U.S. in 2010.

The results of the paper are actually very important and can be used to prioritize news stories, recommend friend connections with other relatives or automatically generate lists for privacy settings.