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- W1799685217 abstract "The problem of (approximately) counting the number of triangles in a graph is one of the basic problems in graph theory. In this paper we study the problem in the streaming model. Specifically, the amount of memory required by a randomized algorithm to solve this problem. In case the algorithm is allowed one pass over the stream, we present a best possible lower bound of Ω(m) for graphs G with m edges. If a constant number of passes is allowed, we show a lower bound of Ω(m/T), T the number of triangles. We match, in some sense, this lower bound with a 2-pass O(m/T 1/3)-memory algorithm that solves the problem of distinguishing graphs with no triangles from graphs with at least T triangles. We present a new graph parameter ρ(G) – the triangle density, and conjecture that the space complexity of the triangles problem is Θ(m/ρ(G)). We match this by a second algorithm that solves the distinguishing problem using O(m/ρ(G))-memory." @default.
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- W1799685217 date "2013-01-01" @default.
- W1799685217 modified "2023-09-26" @default.
- W1799685217 title "How Hard Is Counting Triangles in the Streaming Model?" @default.
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- W1799685217 doi "https://doi.org/10.1007/978-3-642-39206-1_21" @default.
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