Power Law and Exponential Decay of Intercontact Times between Mobile Devices

By Thomas Karagiannis, J. L. Boudec, Milan Vojnovic. IEEE Transactions on Mobile Computing, 2007

762 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b85ac0507051f67e977dbafe0213ecf20258565d

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Contact Patterns in a High School: A Comparison between Data Collected Using Wearable Sensors, Contact Diaries and Friendship Surveys (2015, background): “Moreover, the time intervals between successive contacts are also broadly distributed, spanning several orders of magnitude: most intercontact durations are short, but very long durations are also observed, and no characteristic timescale emerges [15, 18, 21, 38–40].”
Mobile ad hoc networking: milestones, challenges, and new research directions (2014, neutral): “C”
BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks (2008, background): “Previously, the characteristics of these data sets, such as intercontact and contact distribution, have been explored in several studies [12], [ 13 ], [14], to which we refer the reader for further background information.”
On the Levy-Walk Nature of Human Mobility (2008, background): “It is known that the ICT distribution of human walks exhibits a power-law tendency up to some time after which it shows exponential decay [19].”
Human mobility models for opportunistic networks (2011, background): “[8] extended this result suggesting that the power law decay should be complemented with an exponential cut-off.”
Delegation forwarding (2008, background): “Note that a uniform distribution of rates is not inconsistent with a power-law distribution of inter-contact times, which have been observed in [5, 6, 15].”
Disruption-Tolerant Networking: A Comprehensive Survey on Recent Developments and Persisting Challenges (2012, background): “While the memoryless property of the exponential distribution offers a lot in terms of tractability [79], [80], such a model is rudimentary as it might not match all realistic scenarios specially those incorporating a mixture of light-/heavy-tail distributions.”
Data Offloading Techniques in Cellular Networks: A Survey (2015, neutral): “These properties have been deeply investigated in trace-based studies [104], [105].”
NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011, background): “Key papers in this area include studies on mobility and connectivity patterns, such as [5, 13].”
A parsimonious model of mobile partitioned networks with clustering (2009, background): “Many research groups have studied partitioned networks in the last few years [1], [5], [12], [13], [17], [21], [24], [26], [27], [6].”
Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks (2008, background): “Qualitatively, this behavior is not unexpected, and a similar result has indeed been reported for the duration of contacts between Bluetooth devices [10,14,21].”
Trust-Based Service Management for Social Internet of Things Systems (2016, neutral): “See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. bad-mouthing attacks against (or ballot-staffing attacks for) node q. Node i‘s trust toward node q on the other hand is just 𝐷𝑖𝑞 ℎ𝑜𝑛𝑒𝑠𝑡𝑦(𝑡 − ∆𝑡) kept by node i.”
SLAW: A New Mobility Model for Human Walks (2009, background): “Thus, it lacks the regular patterns present in daily human walks.”