paper

Preventing Unraveling in Social Networks Gets Harder

arXiv:1304.6420

Abstract

The behavior of users in social networks is often observed to be affected by the actions of their friends. Bhawalkar et al. \cite{bhawalkar-icalp} introduced a formal mathematical model for user engagement in social networks where each individual derives a benefit proportional to the number of its friends which are engaged. Given a threshold degree the equilibrium for this model is a maximal subgraph whose minimum degree is . However the dropping out of individuals with degrees less than might lead to a cascading effect of iterated withdrawals such that the size of equilibrium subgraph becomes very small. To overcome this some special vertices called "anchors" are introduced: these vertices need not have large degree. Bhawalkar et al. \cite{bhawalkar-icalp} considered the \textsc{Anchored -Core} problem: Given a graph and integers and do there exist a set of vertices such that and every vertex has degree at least is the induced subgraph . They showed that the problem is NP-hard for and gave some inapproximability and fixed-parameter intractability results. In this paper we give improved hardness results for this problem. In particular we show that the \textsc{Anchored -Core} problem is W[1]-hard parameterized by , even for . This improves the result of Bhawalkar et al. \cite{bhawalkar-icalp} (who show W[2]-hardness parameterized by ) as our parameter is always bigger since . Then we answer a question of Bhawalkar et al. \cite{bhawalkar-icalp} by showing that the \textsc{Anchored -Core} problem remains NP-hard on planar graphs for all , even if the maximum degree of the graph is . Finally we show that the problem is FPT on planar graphs parameterized by for all .

arXiv commentTo appear in AAAI 2013