Managing Workplace Resources in Office Environments through Ephemeral Social Networks

Zhu, Lijun; Chin, Alvin; Zhang, Ke; Xu, Wenchang; Wang, Hao; Zhang, Li

doi:10.1007/978-3-642-16355-5_50

Cited by 12 publications

(12 citation statements)

References 16 publications

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“…We believe that collected proximities through a WiFi-based positioning system such as in the work of [17] and our system [3,4,5,6] can better present or infer the offline interaction between users.…”

Section: Related Work 21 Proximity and Offline Interactionsmentioning

confidence: 98%

“…Our system combines a user's location, social events and social context in the physical world, like in the workplace for managing workplace resources [3] or in the conference for enhancing conference participation [4]. We utilize a user's physical proximity in the form of encounters to broaden a user's social connections by creating an online social network service that suggests people to connect to, based on location and encounter history, and integrate it together with the conference schedule which is presented in a mobile user interface.…”

Section: How Our Work Differsmentioning

confidence: 99%

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Linking people through physical proximity in a conference

Chin

Hao³

et al. 2012

Proceedings of the 3rd International Workshop on Modeling Social Media

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Past research has studied offline proximity such as co-location and online social connections such as friendship individually. People form social relationships based on certain characteristics they possess, called social selection. When people change their social behavior due to interaction with others, social influence is at work. However, few researchers have examined the relationship that exists between offline proximity and online social connection, and the transitions from offline to online and vice versa (O2O).To study this problem, we created a system for finding and connecting with people at a conference that uses offline proximity encounters in order to help attendees meet and connect with each other. Using data where our system was deployed at two conferences, we discover that for social selection, more proximity interactions will result in an increased probability for a person to add another as a social connection (friend, follower or exchanged contact). However, after the social connections are established, more online social interactions result in a decreased duration and frequency of offline interactions between the connected users and social influence is weak. These results are just the first step in understanding how O2O interactions can help link people together, improve friend recommendations, and improve overall user experience.

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Section: Related Work 21 Proximity and Offline Interactionsmentioning

confidence: 98%

Section: How Our Work Differsmentioning

confidence: 99%

Linking people through physical proximity in a conference

Chin

Hao³

et al. 2012

Proceedings of the 3rd International Workshop on Modeling Social Media

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“…Considering that GPS positioning methods [Cranshaw et al 2010] have accurate limits (on the order of 50 meters error) that cannot omit the noisy proximities when no interaction is happening, outdoor colocation does not always infer the interaction. We believe that collected proximities through a WiFi-based positioning system such as in the work of de Moraes and Nunes [2006] and our Find and Connect system [Zhu et al 2010;Chang et al 2011;Xu et al 2011aXu et al , 2011b can better present or infer the offline interaction between users.…”

Section: Proximity and Social Interactionsmentioning

confidence: 99%

Connecting people through physical proximity and physical resources at a conference

Chin

Wang

et al. 2013

ACM Trans. Intell. Syst. Technol.

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This work investigates how to bridge the gap between offline and online behaviors at a conference and how the physical resources in the conference (the physical objects used in the conference for gathering attendees together in engaging an activity such as rooms, sessions, and papers) can be used to help facilitate social networking. We build Find and Connect, a system that integrates offline activities and interactions captured in real time with online connections in a conference environment, to provide a list of potential people one should connect to for forming an ephemeral social network. We investigate how social connections can be established and integrated with physical resources through positioning technology, and the relationship between physical proximity encounters and online social connections. Results from our two datasets of two trials, one at the UIC/ATC 2010 conference and GCJK internal marketing event, show that social connections that are reciprocal in relationship, such as friendship and exchanged contacts, have tighter, denser, and highly clustered networks compared to unidirectional relationships such as follow. We discover that there is a positive relationship between physical proximity encounters and online social connections before the social connection is made for friends, but a negative relationship for after the social connection is made. The first indicates social selection is strong, and the second indicates social influence is weak. Even though our dataset is sparse, nonetheless we believe our work is promising and novel which is worthy of future research.

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“…In a research work [1], Cranshaw et al introduce an analysis of GPS location for contextual features of human location trail data, to elicit the existance of a physical social network and to analyze the context of the social interactions. In [9,10], Xu et al collected and analyzed Wifi data to explore the relationship between physical proximity and social links between individuals. In this work, the physical position of the individuals was estimated from Wifi signal strength and MAC address of nearby Wifi access points.…”

Section: Related Workmentioning

confidence: 99%

“…Then, proximity encounters between individuals were computed based on the distance threshold and duration threshold. The positioning of individuals was accomplished by performing a site survey that involves recording the Wifi signal strengths and access points of all floors in the building on the floor map [10]. Nevertheless, this approach requires the construction of radio maps a priori, which makes it unsuitable for highly dynamic scenarios.…”

Section: Related Workmentioning

confidence: 99%

Social Interaction Discovery: A Simulated Multiagent Approach

Carrasco-Jiménez

Celaya-Padilla

Montes

et al. 2013

Lecture Notes in Computer Science

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Abstract. Social interaction inference is a problem that has been of interest in the past few years. The intrinsic mobility patterns followed by humans present a number of challenges that range from interaction inference to identification of social relationships linking individuals. An intuitive approach is to focus on the similarity of mobility patterns as an indicator of possible social interaction among individuals. By recording the access points observed at each unit of time along with the strength of the signals received, individuals may be group based on similar walking patterns shared on space and time. In this paper, an implementation of a multiagent simulation of a University-like environment is tested using NetLogo and a methodology that consists of two phases: 1) Cluster Analysis and 2) Construction of Social Networks is used to discover possible interactions among individuals. The first phase consists of a number of clustering methods that are used to identify individuals that are more closely related given the characteristics that describe their mobility patterns obtained from simulated Wifi data. In the second phase, users belonging to the same cluster are linked within a social network, meaning that there is possible ongoing social interaction or tie that might link the individuals.

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Managing Workplace Resources in Office Environments through Ephemeral Social Networks

Cited by 12 publications

References 16 publications

Linking people through physical proximity in a conference

Linking people through physical proximity in a conference

Connecting people through physical proximity and physical resources at a conference

Social Interaction Discovery: A Simulated Multiagent Approach

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