English

Preventing Unraveling in Social Networks Gets Harder

Social and Information Networks 2013-04-25 v1 Discrete Mathematics Data Structures and Algorithms

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 kk the equilibrium for this model is a maximal subgraph whose minimum degree is k\geq k. However the dropping out of individuals with degrees less than kk 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 kk-Core} problem: Given a graph GG and integers b,kb, k and pp do there exist a set of vertices BHV(G)B\subseteq H\subseteq V(G) such that Bb,Hp|B|\leq b, |H|\geq p and every vertex vHBv\in H\setminus B has degree at least kk is the induced subgraph G[H]G[H]. They showed that the problem is NP-hard for k2k\geq 2 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 kk-Core} problem is W[1]-hard parameterized by pp, even for k=3k=3. This improves the result of Bhawalkar et al. \cite{bhawalkar-icalp} (who show W[2]-hardness parameterized by bb) as our parameter is always bigger since pbp\geq b. Then we answer a question of Bhawalkar et al. \cite{bhawalkar-icalp} by showing that the \textsc{Anchored kk-Core} problem remains NP-hard on planar graphs for all k3k\geq 3, even if the maximum degree of the graph is k+2k+2. Finally we show that the problem is FPT on planar graphs parameterized by bb for all k7k\geq 7.

Keywords

Cite

@article{arxiv.1304.6420,
  title  = {Preventing Unraveling in Social Networks Gets Harder},
  author = {Rajesh Chitnis and Fedor V. Fomin and Petr A. Golovach},
  journal= {arXiv preprint arXiv:1304.6420},
  year   = {2013}
}

Comments

To appear in AAAI 2013