<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Strangers help friends to communicate in opportunistic networks."
Abstract:"People's inclination to move and meet while engaging in social relationships generates a wide set of contacts ranging from a few seconds to hours. This paper focuses mainly on the role of short contacts and shows how they are essential to the efficiency, stability and simple computation of the forwarding process, thus making affordable in practice efforts to deploy opportunistic networks on top of human contacts. Starting from a rich dataset of contacts that we collected in a university workplace, the paper offers three main contributions. Firstly, it shows that brief contacts contribute significantly to reducing delivery latency and increasing delivery likelihood. Secondly, the brief contacts enable the construction of a taxonomy of social relationships which has proven to be stable over time and easily computable by each handheld device in a distributed way. Finally, the novel description of sociality can be profitably applied to achieve forwarding requirements that combine efficiency of data delivery with stability and simple computation of the adopted metrics. (C) 2010 Elsevier B.V. All rights reserved.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:

Strangers help friends to communicate in opportunistic networks
People's inclination to move and meet while engaging in social relationships generates a wide set of contacts ranging from a few seconds to hours. This paper focuses mainly on the role of short contacts and shows how they are essential to the efficiency, stability and simple computation of the forwarding process, thus making affordable in practice efforts to deploy opportunistic networks on top of human contacts. Starting from a rich dataset of contacts that we collected in a university workplace, the paper offers three main contributions. Firstly, it shows that brief contacts contribute significantly to reducing delivery latency and increasing delivery likelihood. Secondly, the brief contacts enable the construction of a taxonomy of social relationships which has proven to be stable over time and easily computable by each handheld device in a distributed way. Finally, the novel description of sociality can be profitably applied to achieve forwarding requirements that combine efficiency of data delivery with stability and simple computation of the adopted metrics. (C) 2010 Elsevier B.V. All rights reserved.