Higher order monotonicity and submodularity of influence in social networks: from local to global
Wei Chen, Qiang Li, Xiaohan Shan, Xiaoming Sun, Jialin Zhang

TL;DR
This paper generalizes the concepts of monotonicity and submodularity to higher orders in influence spread functions, proving that local properties imply global ones in certain social network models, especially DAGs.
Contribution
It introduces AD-k as a new framework for higher-order influence properties and proves local to global implications in social networks, extending previous conjectures.
Findings
Proves local AD-k implies global AD-k in DAGs.
Validates the conjecture for all social graphs when k is infinite.
Introduces continuous extensions to set functions for the proofs.
Abstract
Kempe, Kleinberg and Tardos (KKT) proposed the following conjecture about the general threshold model in social networks: local monotonicity and submodularity imply global monotonicity and submodularity. That is, if the threshold function of every node is monotone and submodular, then the spread function is monotone and submodular, where is a seed set and the spread function denotes the expected number of active nodes at termination of a diffusion process starting from . The correctness of this conjecture has been proved by Mossel and Roch. In this paper, we first provide the concept AD-k (Alternating Difference-) as a generalization of monotonicity and submodularity. Specifically, a set function is called \adk if all the -th order differences of on all inputs have sign for every . Note that AD-1 corresponds to…
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Taxonomy
TopicsGame Theory and Voting Systems · Complexity and Algorithms in Graphs · Advanced Graph Theory Research
