On connectivity in a general random intersection graph
Jun Zhao

TL;DR
This paper analyzes the connectivity properties of a broad class of random intersection graphs, deriving a sharp zero-one law and comparing it with existing results, with applications in sensor and social networks.
Contribution
It establishes a new sharp zero-one law for connectivity in a general random intersection graph model, extending previous work by Yan.
Findings
Derived a sharp zero-one law for graph connectivity.
Compared new results with existing zero-one laws.
Applicable to secure sensor and social network models.
Abstract
There has been growing interest in studies of general random intersection graphs. In this paper, we consider a general random intersection graph defined on a set comprising vertices, where is a probability vector and is . This graph has been studied in the literature including a most recent work by Ya\u{g}an [arXiv:1508.02407]. Suppose there is a pool consisting of distinct objects. The vertices in are divided into groups . Each vertex is independently assigned to exactly a group according to the probability distribution with , where . Afterwards, each…
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Taxonomy
TopicsMobile Ad Hoc Networks · Security in Wireless Sensor Networks · Cryptography and Data Security
