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  2. Predicting the Spatio-Temporal Evolution of Chronic Diseases in…

    https://mobile-systems.cl.cam.ac.uk/papers/ijcai18.pdf
    10 May 2018: Therefore, we focus on how people’s lifestylesmay influence the development of these chronic diseases. ... Palliative care4 is aspecialized medical care for people with life-threatening ill-ness.
  3. Where Online Friends Meet: Social Communities in Location-based…

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm12poster.pdf
    13 Mar 2012: IntroductionMillions of people now interact with their friends online us-ing social networking services. ... Theprobability of friendship quickly decreases with increas-ing spatial distance between people (Stewart 1941).
  4. Discovering Latent Patterns of Urban Cultural Interactions in WeChat…

    https://mobile-systems.cl.cam.ac.uk/papers/kdd18.pdf
    18 Jun 2018: Theseoutputs as a whole tell us which group of people prefer to do whattype of cultural activities at what time. ... We canobserve that pattern one is composed of people who love travel-ling and prefer wide open space.
  5. Leveraging mobility flows from location technology platforms to test…

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm20.pdf
    16 Apr 2020: Ac-cording to this theory, people pursue a variety of recur-rent activities – such as working or shopping – at differentlocations, which are called routine activity nodes. ... crime. However, self-loop flow,where people wander from one venue to
  6. Trust and Mobility Aware Service Provision forPervasive Computing…

    https://mobile-systems.cl.cam.ac.uk/papers/trustmob.pdf
    29 Feb 2008: An extremely large percentage of people already possesses devicessuch as portable music players and mobile phones. ... 1 This is also true for people in coffee shops as indicated by [4].
  7. nips2009.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/nips2009.pdf
    4 Dec 2011: the attendees. People wearing tags were tracked for the course of three days. ... RFIDand expressed interests were usedby the organizers of the conference to help people in networking.
  8. Demo Abstract: Data Collection in Delay TolerantMobile Sensor…

    https://mobile-systems.cl.cam.ac.uk/papers/sensys06.pdf
    29 Feb 2008: Figure 1: Demonstration Topology. • 5 T-Motes Skys attached to people or on Lego Mind-Storms; these will represent the mobile carriers.
  9. ICGes v1

    https://mobile-systems.cl.cam.ac.uk/papers/icges.pdf
    29 Feb 2008: In security, the focus. tends to be on people who want to abuse the. ... participation of these groups of people: the. decision makers – who are better suited to.
  10. An Ad Hoc Mobility Model Foundedon Social Network Theory ...

    https://mobile-systems.cl.cam.ac.uk/papers/mswim04.pdf
    29 Feb 2008: In this case, interactions aresaid to be direct if they take place between people who arecolocated. ... Inother words, we consider only the people who have a signifi-cant social relationship with person i.
  11. SIGCHI Conference Proceedings Format

    https://mobile-systems.cl.cam.ac.uk/papers/www17.pdf
    17 Feb 2017: Although mental health problems are widespread, asubstantial percentage of people do not receive treatment. ... Over 40, 000 people downloaded the applica-tion after a successful media campaign.
  12. Analysing Information Flows and Key Mediatorsthrough Temporal…

    https://mobile-systems.cl.cam.ac.uk/papers/sns10.pdf
    29 Mar 2010: We find that temporal analysis provides a betterunderstanding of dynamic processes and a more accurateidentification of important people compared to traditionalstatic methods. ... Instead for both betweenness andcloseness centrality, static analysis has
  13. Mobile Health with Head-Worn Devices: Challenges and Opportunities

    https://mobile-systems.cl.cam.ac.uk/papers/earable-survey22.pdf
    5 Sep 2022: Opportunity: Unconventional UIs. One of the factorsthat affects user experience is the way people interact withthe head-worn devices. ... Therefore, there is anurgent need for techniques to anonymize the identity or evenconceal facial characteristics of
  14. Measuring Urban Social Diversity Using Interconnected Geo-Social…

    https://mobile-systems.cl.cam.ac.uk/papers/www2016.pdf
    1 Feb 2016: 5.3 Geo-social InteractionThe interaction between people and places in our dataset is repre-. ... 6.1 Brokerage Role of PlacesOne of the fundamental social roles of places is to bring people.
  15. EmotionSense: A Mobile Phones based Adaptive Platform for…

    https://mobile-systems.cl.cam.ac.uk/papers/Ubicomp10.pdf
    29 Jun 2010: However, these techniquesmay lead to biased results since people are aware of beingconstantly monitored. ... We can infer that people tend to exhibit neutral emo-tions far more than other emotions.
  16. Understanding the Effects of the Neighbourhood Built Environment on…

    https://mobile-systems.cl.cam.ac.uk/papers/www19.pdf
    27 Feb 2019: Does the distribu-tion of people who own pets consistently different in various areas?Systematic ways to answer these types of questions still remainunknown. ... Is it because people with higher SES eathealthily, exercise more often, or smoke less?
  17. SpotME If You Can: Randomized Responses forLocation Obfuscation on ...

    https://mobile-systems.cl.cam.ac.uk/papers/icdcs2011.pdf
    2 Mar 2011: statistically analyzedto estimate, for example, the actual number of people in agiven location. ... location. Step 2: A service infers number and flow of people fromthe maps.
  18. Earbuds_Percom21 (1)

    https://mobile-systems.cl.cam.ac.uk/papers/percom21.pdf
    30 Apr 2021: This is further borne out by thehigh average number of daily interaction people have withtheir mobile phones [20]. ... A number of factorscan invalid the calibration of a magnetometer, such as theenvironment, the temperature, and the number of people ina
  19. A Study of Bluetooth Low Energy Performance forHuman Proximity ...

    https://mobile-systems.cl.cam.ac.uk/papers/percom17.pdf
    11 Jan 2017: Our testbed consists of an architecture company (SpacelabLtd.) which employs more than 35 people. ... The largestinteraction captured involved a group of 5 people. B. Proximity Detection Technique.
  20. aaai17 format (9 March)

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm17poster.pdf
    10 Mar 2017: 2016) discussed the relationship between the prosperity of people and urban places, and distinguished between different categories and urban geographies using Foursquare and Twitter data.
  21. Writing on the Clean Slate:Implementing a Socially-Aware Protocol in…

    https://mobile-systems.cl.cam.ac.uk/papers/aoc08.pdf
    17 Apr 2008: Furthermore, some of the ad hoc communication tech-nologies, such as Bluetooth and Zigbee, have increased theability of people to interact by following more natural socialpatterns. ... CAR is a natural fit for the Haggle vision,since it exploits
  22. On Nonstationarity of Human Contact NetworksSalvatore Scellato∗,…

    https://mobile-systems.cl.cam.ac.uk/papers/simplex10.pdf
    14 Apr 2010: individuals by assumingthat two people are in contact when they are connected tothe same access point. ... probably because publicaccess points are more likely to register lonely individualsrather than entire groups of people which meet regularly atthe
  23. Exploiting Semantic Annotations for Clustering Geographic Areas and…

    https://mobile-systems.cl.cam.ac.uk/papers/SMW11.pdf
    22 Apr 2011: Home/Work/Other isHome and Parks & Outdoors is Parks). With respect to user and area clustering parallels, there is apattern concerning the appearance of Food lovers for NewYork and Nightlife people
  24. Temporal Distance Metrics for Social Network Analysis John…

    https://mobile-systems.cl.cam.ac.uk/papers/wosn09.pdf
    21 May 2009: From Table 3we can see L for Day 1, if two people started gossiping atthe start of the day, it would take 19 hours to spread to allparticipants. ... Thefact that there are also low C values for each day reiterateshow infrequent groups of people
  25. A Framework for Multi-region Delay Tolerant Networking Mirco…

    https://mobile-systems.cl.cam.ac.uk/papers/winsdr08.pdf
    12 Jul 2008: Sensors are both spread in the environment andattached to people (that may use vehicles) or animals. ... to try to reach all the people through thenetwork infrastructures that are still in place.
  26. An Empirical Study of Geographic User Activity Patterns in ...

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm11poster.pdf
    5 Apr 2011: While people fly from one city to another andcheckin at the corresponding airports, they unfold spatio-temporal connections of larger scales. ... Despite occurring within asmall spatial interval, this may indicate an existence of a lo-cation where people
  27. Socio-spatial Properties of Online Location-based Social Networks

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm11.pdf
    28 Mar 2011: or if, instead,some individuals prefer connecting to people further away,leading to a heterogeneous system. ... As people spend more time online, more and more datawill be available regarding their spatial behavior and theirsocial connections, allowing
  28. What is this place? Inferring place categoriesthrough user patterns…

    https://mobile-systems.cl.cam.ac.uk/papers/mobicase14.pdf
    10 Nov 2014: In this study, weconsider three different category sets that typicallycharacterize people’s everyday life. ... Their system was tested onGPS trajectories of only four people. Chen et al.
  29. wosn04-brown.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/wosn12_brown.pdf
    18 Jun 2012: nities, with people meeting and forming friendships in locationswhere shared activities take place [7]. ... Allmy people right here, right now: management of groupco-presence on a social networking site.
  30. Sense and Sensibility in a Pervasive World Christos Efstratiou1, ...

    https://mobile-systems.cl.cam.ac.uk/papers/pervasive12.pdf
    1 Mar 2012: As itbecame apparent the participants showed a clear interest in people outside their closesocial circle. ... P17:“There might be some use of the desk sensor for people with special needs.
  31. Distance Matters: Geo-social Metrics for Online Social Networks…

    https://mobile-systems.cl.cam.ac.uk/papers/wosn2010.pdf
    25 May 2010: We show how these metricsprovide a better understanding of these networks, sincethey take into account geographic properties of thesocial ties across people. ... As location-awareOSNs become more and more popular, there will beeven more data available
  32. 2 PERVASIVE computing Published by the IEEE CS n ...

    https://mobile-systems.cl.cam.ac.uk/papers/ieeepervasive2013.pdf
    12 Jun 2013: strong urge to smoke when stressed, when with certain people, or at specific locations. ... pabilities in individuals’ pockets than computers of decades. past placed on peoples’ desktops.
  33. Efficient Node Discovery in Mobile WirelessSensor Networks Vladimir…

    https://mobile-systems.cl.cam.ac.uk/papers/dcoss08.pdf
    4 Apr 2008: The traces werecollected using 96 people carrying Bluetooth mobile phones over a duration of292 days.
  34. YONO: Modeling Multiple Heterogeneous Neural Networks on…

    https://mobile-systems.cl.cam.ac.uk/papers/ipsn22.pdf
    7 Mar 2022: Specifically, we envisage a system powered byMCUs that can recognize users’ voice commands, activities andgestures, identify everyday objects and people, and understandthe surrounding environments: this has the potential to boost theutilization
  35. OESense: Employing Occlusion Effect for In-ear Human Sensing

    https://mobile-systems.cl.cam.ac.uk/papers/mobisys21.pdf
    25 May 2021: And people chew gumin distinct ways, such as slow/fast chewing and gentle/ravenouschewing. ... Given that people havedifferent head size, skull structure, and tissue composition, it isexpected that the model trained on one subject could not be fittedto
  36. Designing Mobility Models basedon Social Networks Theory Mirco…

    https://mobile-systems.cl.cam.ac.uk/papers/mc2r07.pdf
    29 Feb 2008: Ourobservation here is that people with strong sociallinks are likely to be geographically colocated of-ten or from time to time. • ... We model the degree of social interaction be-tween two people using a value in the range [0, 1].
  37. METIS: Exploring mobile phone sensing offloading for efficiently…

    https://mobile-systems.cl.cam.ac.uk/papers/percom2013.pdf
    24 Jan 2013: We investigated the impact of user mobility looking atscenarios with different average times that people spent ina given location. ... We plan to extendthe system by supporting additional sensing modalities andalso enhance the application to recommend
  38. Distances

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm12full.pdf
    13 Mar 2012: people to interactregardless of where they are located, the costs imposed bygeographic distances might be vanishing. ... spaceand tie strength when people create these chains is ex-tremely strong, as seen also in many offline and online net-works (Dodds,
  39. A Community Based Mobility Modelfor Ad Hoc Network Research ...

    https://mobile-systems.cl.cam.ac.uk/papers/realman06.pdf
    29 Feb 2008: Wemodel the degree of social interaction between two people usinga value in the range [0, 1]. ... The Interaction Matrix (and, consequently, the Con-1Let us consider a family of three people, with one child.
  40. Media Sharing based on Colocation Predictionin Urban Transport Liam…

    https://mobile-systems.cl.cam.ac.uk/papers/mobicom08.pdf
    14 Jul 2008: 5.1.3 Passenger colocationThe data set only records when/where people entered and. ... This assumes people leave the system soon aftertheir train arrives at their final stop.
  41. The RUNES Middleware: A ReconfigurableComponent-based Approach to…

    https://mobile-systems.cl.cam.ac.uk/papers/pimrc05.pdf
    29 Feb 2008: United Kingdoms.zachariadis@cs.ucl.ac.uk. I. INTRODUCTION. Miniature computing devices are being embedded in anincreasing range of objects around us including home ap-pliances, cars, buildings, and people.
  42. socialsensing.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/mcss12.pdf
    9 May 2012: This will provide uswith insights about the tasks of the construction process orparts of the building that are discussed among the workersand the particular types of people in the organisation thatare
  43. Mining User Mobility Features for Next PlacePrediction in…

    https://mobile-systems.cl.cam.ac.uk/papers/icdm2012.pdf
    20 Oct 2012: which in plain words translates to the enumeration of venuesthat are geographically closer to l′ than the destination k.Our assumption here is that the movement of people is notbased on ... Overall, theeffectiveness of each feature over time changes:
  44. Multilayer Brokerage in Geo-Social Networks

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm2015.pdf
    28 Mar 2015: For instance, people can bebrokers both online and offline. Recent studies have sug-gested that online social networking is directly linked tobridging and bonding social capital (Ellison et al. ... While single-layer networksmay be sufficient in many
  45. Open Source Smartphone Libraries for Computational Social Science

    https://mobile-systems.cl.cam.ac.uk/papers/mcss2013.pdf
    24 Jun 2013: Beyond data collection, smartphones arenow being researched as tools that can implement andtest behaviour change theories [5] and, ultimately, promiseto become a central mediating point between people andtheir therapists [7].
  46. If I build it, will they come? Predicting new venue visitation…

    https://mobile-systems.cl.cam.ac.uk/papers/sigspatial17poster.pdf
    10 Oct 2017: We have also introduced the concept of tempo-rally similar areas in a city: areas that share patterns in the move-ment of people to venues within those areas.
  47. jsac.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/jsac.pdf
    1 Apr 2008: This aspect is capturedby the probability of subscriber co-location. However, as inreal life, a person meeting many people has more optionsto disseminate information. ... 2) Default Parameters: In real life, people sharing similarinterests happen to be co
  48. Exploiting Place Features in Link Prediction onLocation-based Social…

    https://mobile-systems.cl.cam.ac.uk/papers/kdd2011.pdf
    30 May 2011: Eagle et al. have consideredhow interactions between people over mobile phones can ac-curately predict relations among them [7]. ... PNAS, 106(36):15274–15278, September 2009. [8] Facebook. People You May Know.
  49. Understanding the Role of Places and Activities on Mobile Phone…

    https://mobile-systems.cl.cam.ac.uk/papers/Ubicomp17-Abhinav.pdf
    1 Aug 2017: People accept most notications that are delivered while they are doing exerciseand routine tasks. ... Also, people are more aentive to noticationsat places that are characterized as “productive”.
  50. Selective Reprogramming of Mobile Sensor Networksthrough Social…

    https://mobile-systems.cl.cam.ac.uk/papers/ewsn10.pdf
    12 Dec 2009: Inthese contexts, WSN nodes are physically attached to animals or people being moni-tored. ... Moreover, not all members of acommunity behave the same way, some animals/people are more active or popular thanothers.
  51. Passive mobile sensing and psychological traits for large scale mood …

    https://mobile-systems.cl.cam.ac.uk/papers/pervasivehealth19.pdf
    20 May 2019: Jason RentfrowUniversity of Cambridge, UK. Dept. of Psychologypjr39@cam.ac.uk. ABSTRACTExperience sampling has long been the established method to sam-ple people’s mood in order to assess their mental ... 7 CONCLUSIONThe pervasiveness of smartphones

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