The Social Amplifier-Reaction of Human Communities to Emergencies

被引：13

作者：

Altshuler, Yaniv ^{[1
]}

Fire, Michael ^{[2
]}

Shmueli, Erez ^{[1
]}

Elovici, Yuval ^{[2
]}

Bruckstein, Alfred ^{[3
]}

Pentland, Alex ^{[1
]}

Lazer, David ^{[4
,5
,6
]}

机构：

[1] MIT, Media Lab, Cambridge, MA 02139 USA

[2] Ben Gurion Univ Negev, Dept Informat Syst Eng, Deutsch Telekom Lab, IL-84105 Beer Sheva, Israel

[3] Technion Israel Inst Technol, Dept Comp Sci, IL-32000 Haifa, Israel

[4] Northeastern Univ, Coll Comp & Informat Sci, Boston, MA 02115 USA

[5] Northeastern Univ, Dept Polit Sci, Boston, MA 02115 USA

[6] Harvard Univ, John F Kennedy Sch Govt, Cambridge, MA 02138 USA

来源：

JOURNAL OF STATISTICAL PHYSICS | 2013年 / 152卷 / 03期

关键词：

Network science; Mobile phone networks; NETWORK STRUCTURE;

D O I：

10.1007/s10955-013-0759-z

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This paper develops a methodology to aggregate signals in a network regarding some hidden state of the world. We argue that focusing on edges around hubs will under certain circumstances amplify the faint signals disseminating in a network, allowing for more efficient detection of that hidden state. We apply this method to detecting emergencies in mobile phone data, demonstrating that under a broad range of cases and a constraint in how many edges can be observed at a time, focusing on the egocentric networks around key hubs will be more effective than sampling random edges. We support this conclusion analytically, through simulations, and with analysis of a dataset containing the call log data from a major mobile carrier in a European nation.

引用

页码：399 / 418

页数：20

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