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What Can the Temporal Social Behavior Tell Us? An Estimation of Vertex-Betweenness Using Dynamic Social Information

Jing-Kai Lou, Shou-de Lin, Kuan-Ta Chen, Chin-Laung Lei
2010 2010 International Conference on Advances in Social Networks Analysis and Mining  
The vertex-betweenness centrality index is an essential measurement for analyzing social networks, but the computation time is excessive.  ...  Significantly, we demonstrate that the local dynamic information about the vertices is highly relevant to the global betweenness values.  ...  CONCLUSION In this paper, we discuss how that dynamic information about degree and transitivity can help us understand the evolution of social networks.  ... 
doi:10.1109/asonam.2010.46 dblp:conf/asunam/LouLCL10 fatcat:nhwk3a6bazcrreyeqicb4emgxa

Visualization of evolving social networks using actor-level and community-level trajectories

Márcia Oliveira, João Gama
2013 Expert systems  
In this paper we present an approach to visualize the evolution of dynamic social networks by using Tucker decomposition and the concept of temporal trajectory.  ...  To illustrate the proposed approach we conduct a case study using a set of temporal friendship networks.  ...  Temporal Trajectories of Dynamic Social Networks A trajectory can be defined as a set of time-ordered states of an object in a dynamical system.  ... 
doi:10.1111/exsy.12028 fatcat:fikiswfsoreipisjp5e5rd3cii

Using network motifs to characterize temporal network evolution leading to diffusion inhibition [article]

Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian
2019 arXiv   pre-print
In an attempt to understand what causes inhibition, we use motifs to dissect the network obtained from information cascades coupled with traces of historical diffusion or social network links.  ...  We study the lifecycle of information cascades to understand what leads to saturation of growth in terms of cascade reshares, thereby resulting in expiration, an event we call "diffusion inhibition".  ...  Acknowledgements Some of the authors are supported through the AFOSR Young Investigator Program (YIP) grant FA9550-15-1-0159, ARO grant W911NF-15-1-0282, and the DoD Minerva program grant N00014-16-1-2015  ... 
arXiv:1903.00862v1 fatcat:r6vlgw6oljbsjewsna3nq75pmq

Modeling and Prediction for Processes on Network Graphs [chapter]

Eric D. Kolaczyk, Gábor Csárdi
2020 Use R!  
So too can various behaviors and beliefs of individuals in a social community be represented using such variables, possibly indexed in time.  ...  For example, the behaviors and beliefs of people can be strongly influenced by their social interactions; proteins that are more similar to each other, with respect to their DNA sequence information, often  ...  So too can various behaviors and beliefs of individuals in a social community be represented using such variables, possibly indexed in time.  ... 
doi:10.1007/978-3-030-44129-6_8 fatcat:7zvbeapelvh2rj2vehjcaea4bq

Context Aware Robot Navigation using Interactively Built Semantic Maps [article]

Akansel Cosgun, Henrik Christensen
2018 arXiv   pre-print
We discuss the process of building semantic maps, how to interactively label entities in them, and how to use them to enable context-aware navigation behaviors in human environments.  ...  Users can interactively annotate these features by having the robot follow him/her, entering the label through a mobile app, and performing a pointing gesture toward the landmark of interest.  ...  Dynamic planner: Future motion of the humans are simulated, which is then used to refine the static path. More information about this work can be found in [13] .  ... 
arXiv:1710.08682v2 fatcat:7rhfqwifbbaz5c334kpuv4fyd4

Predictors of short-term decay of cell phone contacts in a large scale communication network [article]

Troy Raeder, Omar Lizardo, David Hachen, Nitesh V. Chawla
2011 arXiv   pre-print
This paper uses weighted data from a large-scale social network built from cell-phone calls in an 8-week period to determine the importance of edge weight for the decay/persistence process.  ...  Under what conditions is an edge present in a social network at time t likely to decay or persist by some future time t + Delta(t)?  ...  This result implies that relative inequalities in network range can tell us something about the expected stability of edges in social net-works, as the bulk of the "instability" in edge evolution may be  ... 
arXiv:1102.1753v2 fatcat:zfegvi4wbnclvpvgvzgwdel5iu

Predictors of short-term decay of cell phone contacts in a large scale communication network

Troy Raeder, Omar Lizardo, David Hachen, Nitesh V. Chawla
2011 Social Networks  
This paper uses weighted data from a large-scale social network built from cell-phone calls in an 8-week period to determine the importance of edge weight for the decay/persistence process.  ...  Under what conditions is an edge present in a social network at time t likely to decay or persist by some future time t + t?  ...  This result implies that relative inequalities in network range can tell us something about the expected stability of edges in social networks, as the bulk of the "instability" in edge evolution may be  ... 
doi:10.1016/j.socnet.2011.07.002 fatcat:4e3aqjkp3bcdpc3cax4lqn3nqi

Spatiotemporal Detection of Unusual Human Population Behavior Using Mobile Phone Data

Adrian Dobra, Nathalie E. Williams, Nathan Eagle, Boris Podobnik
2015 PLoS ONE  
In this study, we propose an efficient system for spatiotemporal detection of behavioral anomalies from mobile phone data and compare sites with behavioral anomalies to an extensive database of emergency  ...  With the aim to contribute to humanitarian response to disasters and violent events, scientists have proposed the development of analytical tools that could identify emergency events in real-time, using  ...  the initial stages of processing of the call data records.  ... 
doi:10.1371/journal.pone.0120449 pmid:25806954 pmcid:PMC4373934 fatcat:uoiyfcfk5fdsjijfetqzpmrhhy

A Spectral Analysis Approach for Social Media Community Detection [chapter]

Xuning Tang, Christopher C. Yang, Xiajing Gong
2011 Lecture Notes in Computer Science  
Experiment results demonstrated that a cluster of users with common interest can be discovered without using any content analysis and explicit user relationships but only using temporal analysis.  ...  It is of great interest to gain a better understanding on the dynamic of user interactions and identify user communities in online forums.  ...  Although correlation can also indicate the coupling between two user feature vectors, we choose spectral coherence here since it not only tells us how similar two user feature vectors are, but also informs  ... 
doi:10.1007/978-3-642-24704-0_17 fatcat:qbqpbvewrzadppoat22mcsvqxa

Context-aware robot navigation using interactively built semantic maps

Akansel Cosgun, Henrik I. Christensen
2018 Paladyn: Journal of Behavioral Robotics  
We discuss the process of building semantic maps, how to interactively label entities in them, and how to use them to enable context-aware navigation behaviors in human environments.  ...  Users can interactively annotate these features by having the robot follow him/her, entering the label through a mobile app, and performing a pointing gesture toward the landmark of interest.  ...  Dynamic planner: Future motion of the humans are simulated, which is then used to refine the static path. More information about this work can be found in [83] .  ... 
doi:10.1515/pjbr-2018-0020 fatcat:nacycjg3cjg3xb6powdqhfawui

Modeling Temporal Adoptions Using Dynamic Matrix Factorization

Freddy Chong Tat Chua, Richard J. Oentaryo, Ee-Peng Lim
2013 2013 IEEE 13th International Conference on Data Mining  
This DMF technique is an extension of the Non-negative Matrix Factorization (NMF) based on the well-known class of models called Linear Dynamical Systems (LDS).  ...  In this paper, we adopted a Dynamic Matrix Factorization (DMF) technique to derive different temporal factorization models that can predict missing adoptions at different time steps in the users' adoption  ...  This research is supported by the Singapore National Research Foundation under its International Research Centre @ Singapore Funding Initiative and administered by the IDM Programme Office, Media Development  ... 
doi:10.1109/icdm.2013.25 dblp:conf/icdm/ChuaOL13 fatcat:rwlmcnhwjbep3ie5i3kd3etfry

Geo-Conquesting Based on Graph Analysis for Crowdsourced Metatrails from Mobile Sensing

Bo-Wei Chen, Wen Ji, Seungmin Rho
2017 IEEE Communications Magazine  
These smart footprints can reflect crowd preferences and the topology of a site of interest. Marketers can utilize such information for commercial resource planning and deployment.  ...  Unlike most works that focused on client sides, this study is intended for market planning, from the perspective of enterprises.  ...  Furthermore, it reflects human social behavior and shows the interaction between persons and a city.  ... 
doi:10.1109/mcom.2017.1600223cm fatcat:3sot67uic5fzrct5dzjxoaegwi

Discovering and Predicting Temporal Patterns of WiFi-interactive Social Populations [article]

Xiang Li and Yi-Qing Zhang and Athanasios V. Vasilakos
2014 arXiv   pre-print
Such fruitful advances also push the desire to understand (mobile) social networks and characterize human social populations with the interdependent collective dynamics as well as the behavioral patterns  ...  interactions, who is contacting with whom at what time.  ...  The inset tells the dependence between size s, and the exponent of exponential cutoff β. Fig. 7 . 7 Temporal dynamics of transmission durations.  ... 
arXiv:1412.6329v1 fatcat:s7o24y26izee5by7tsq3r75uda

A Relational Event Approach to Modeling Behavioral Dynamics [chapter]

Carter T. Butts, Christopher Steven Marcum
2017 Group Processes  
We then discuss estimation for dyadic and more general relational event models using the relevent package, with an emphasis on hands-on applications of the methods and interpretation of results.  ...  These packages are written for the R statistical computing environment, and can be used with any computing platform that supports R (including Windows, Linux, and Mac)."  ...  We can test for this via the use of what Gibson (2003b) calls "participation shifts."  ... 
doi:10.1007/978-3-319-48941-4_4 fatcat:sy7vfiips5bflizt4kahvv5mue

Temporal Network Comparison using Graphlet-orbit Transitions [article]

David Aparício, Pedro Ribeiro, Fernando Silva
2017 arXiv   pre-print
Time-dependent information is crucial in temporal networks and, by disregarding that data, static methods can not achieve the best possible results.  ...  This paper introduces an extension of graphlets for temporal networks.  ...  That information is used in order to estimate the probability of a given transition in a social network and predict network changes.  ... 
arXiv:1707.04572v1 fatcat:ucedzezamvejxl4ob3stg7r7l4
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