Privacy Threats in Social Networks
+49 681 9325 670
+49 681 9325 299
gummadi(Replace this parenthesis with the @ sign)mpi-sws.org
Manuel Gomez Rodriguez
+49 631 9303 8301
manuelgr(Replace this parenthesis with the @ sign)mpi-sws.org
+49 681 9303 8630
+49 681 9303 9199
babaei(Replace this parenthesis with the @ sign)mpi-sws.org
A key feature of online social networking sites like Twitter and Facebook is the possibility to re-post, i.e., forward, information posted by another user. Transitively, such information spreading can easily bring information to recipients it was not originally intended to, and can even set off large-scale social contagions or cascades, when a post goes “viral”. Social network users today have no support for understanding their potential exposure through such spreading. While models of spreading processes have been widely considered in the literature, these (a) focus on information of public interest (chain letters, marketing), as opposed to private interest; and (b) do not take into account the ranking mechanisms organizing users’ feeds and thus controlling what posts they are actually exposed to and are likely to re-post. Our project aims at addressing these deficiencies. To that end, we will devise probabilistic information-diffusion models interleaving data reproduction with data exposure. We will design private information tracking methodology to obtain training data for these models, and tailor state-of-the-art algorithms to analyze and predict information spreads.
Role Within the Collaborative Research Center
In the context of this project we are looking for a qualified PhD student with a track record in topics relevant to the project. If you are interested please send a letter of intent together with your short CV to the PIs of the project.