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Authors: Mihai Patrascu;
Abstract

We show that a large fraction of the data-structure lower bounds known today in fact follow by reduction from the communication complexity of lopsided (asymmetric) set disjointness! This includes lower bounds for: (a) high-dimensional problems, where the goal is to show large space lower bounds; (b) constant-dimensional geometric problems, where the goal is to bound the query time for space O(n polylg n); (c) dynamic problems, where we are looking for a trade-off between query and update time. (In this case, our bounds are slightly weaker than the originals, losing a lglg n factor.) Our reductions also imply the following new results: (a) an Omega(lg n / lg lg n) bound for 4-dimensional range reporting, given space O(n ldr poly lg n). This is very timely, since a recent result [Nekrich, SoCG'07] solved 3D reporting in near-constant time, raising the prospect that higher dimensions could also be easy; (b) a tight space lower bound for the partial match problem, for constant query time.(c) the first lower bound for reachability oracles.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    22
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    Average
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Average
Top 10%
Top 10%
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