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Trajectory Community Discovery and Recommendation by Multi-Source Diffusion Modeling

Siyuan Liu, Shuhui Wang
2017 IEEE Transactions on Knowledge and Data Engineering  
To overcome this limitation, we propose TODMIS, a general framework for Trajectory-based cOmmunity Detection by diffusion modeling on Multiple Information Sources.  ...  It also learns the consistent graph Laplacians by constructing the multi-modal diffusion process and optimizing the heat kernel coupling on each pair of similarity matrices from multiple information sources  ...  Multi-source Diffusion Modeling The problem of community detection with multiple similarity matrices is closely related with traditional multi-view clustering [41] . Sindhwani et al.  ... 
doi:10.1109/tkde.2016.2637898 fatcat:3kn4wnubyrbafo3vqvnmvjvxxq

2020 Index IEEE Transactions on Knowledge and Data Engineering Vol. 32

2021 IEEE Transactions on Knowledge and Data Engineering  
., +, TKDE Jan. 2020 40-53 Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics.  ...  ., +, TKDE Nov. 2020 2129-2143 Discovery and Recognition of Emerging Human Activities Using a Hierarchical Mixture of Directional Statistical Models.  ... 
doi:10.1109/tkde.2020.3038549 fatcat:75f5fmdrpjcwrasjylewyivtmu

A planetary nervous system for social mining and collective awareness

F. Giannotti, D. Pedreschi, A. Pentland, P. Lukowicz, D. Kossmann, J. Crowley, D. Helbing
2012 The European Physical Journal Special Topics  
level.Social mining is the problem of discovering patterns and models of human behaviour from the sensed data across the various social dimensions by data mining, machine learning and social network analysis  ...  Given an analytical request, the PNS activates a process composed by a variety of interconnected tasks exploiting the social sensing and mining methods within the transparent ecosystem provided by the  ...  The authors are indebted with many people for inspiring discussions, contributions, comments and criticisms, and remarkably: Andrzej Nowak, John Shawe- Taylor  ... 
doi:10.1140/epjst/e2012-01688-9 fatcat:4bjj4ukpzvhd5fhpt2xnf45eli

An Efficient Framework for Predicting and Recommending M-Commerce Patterns Based on Graph Diffusion Method

R. Priyadharshini, M. Kalimuthu
2013 International Journal of Computer Applications Technology and Research  
Then, by analyzing the mobile users behavior and recommending the ranked items. This framework produces more efficient and accurate item recommendation than the MCE framework.  ...  The problem of PMCP-Mine algorithm has been overcome by the efficient framework based graph diffusion method. The main objective is to construct the graph based diffusion method.  ...  Building the data source into diffused graph Proposed a parameter-less data mining model, named Similarity Inference Model based on diffusion graph, to tackle this task of grouping store and item similarities  ... 
doi:10.7753/ijcatr0203.1020 fatcat:h66xxnrgc5c4fgcq5dvkfs2vvm

A Bibliometric Analysis and Network Visualisation of Human Mobility Studies from 1990 to 2020: Emerging Trends and Future Research Directions

Siqin Wang, Mengxi Zhang, Tao Hu, Xiaokang Fu, Zhe Gao, Briana Halloran, Yan Liu
2021 Sustainability  
We advocate for more in-depth research on human mobility using multi-source big data, improving modelling methods and integrating advanced technologies including artificial intelligence, and machine and  ...  Based on our synthesis of the work by top cited authors we identify four directions for future research relating to data sources, modelling methods, applications, and technologies.  ...  Over the past three decades, HMR studies have become increasingly interdisciplinary, multi-dimensional, and edge leading by involving multi-source big data, innovative modelling approaches, cutting edge  ... 
doi:10.3390/su13105372 fatcat:vqhgn24cqje45jbt6bnn74d3ru

D2.2 Multi-Source Analytics Methodological Foundations

Suite5, SingularLogic, The Smile Of The Child, NTUA
2018 Zenodo  
This deliverable is related to the first release of the methodology, algorithms and examples for predictive analytics and analytics over the case under investigation merging data from multiple sources.  ...  by data mining and knowledge discovery.  ...  The recommended methods and techniques are derived and scientifically supported by a thorough examination of the related literature, which consists of three major domains of multi-source data analytics  ... 
doi:10.5281/zenodo.1477456 fatcat:zgxdgejcdjgxlgji6roswh22iq

Data Collection in Wireless Sensor Networks with Mobile Elements

Mario Di Francesco, Sajal K. Das, Giuseppe Anastasi
2011 ACM transactions on sensor networks  
Since traditional (static) WSNs are dense and the communication paradigm is often (ad hoc) multi-hop, reliability is compromised by interference and collisions.  ...  The traffic pattern inherent to WSNs is convergecast, i.e., messages are generated from sensor nodes and are collected by the sink.  ...  This work has been partially supported by NSF Grants IIS-0326505, CNS-0721951 and CNS-0916221, and by AFOSR Grant A9550-08-1-0260; and partially by the Italian Ministry for Education and Scientific Research  ... 
doi:10.1145/1993042.1993049 fatcat:omzwcuesfzdrzoa4sabllenie4

Knowledge Discovery from Large Amounts of Social Media Data

Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo
2022 Applied Sciences  
social media discussion topics through a hashtag recommendation system.  ...  understand the behavior of user groups during global events, monitor public opinion close to important events, identify the main topics in a public discussion, or detect the most frequent routes followed by  ...  Lastly, about topic discovery, we present HAshtag recommendation using Sentence-to-Hashtag Embedding Translation (HASHET), a model for recommending a set of hashtags that are suitable for a given post.  ... 
doi:10.3390/app12031209 fatcat:wsbkrhpqnzgdjlomas5cxmdhtm

2019 Index IEEE Transactions on Knowledge and Data Engineering Vol. 31

2020 IEEE Transactions on Knowledge and Data Engineering  
., +, TKDE Jan. 2019 105-119 Causal Modeling-Based Discrimination Discovery and Removal: Criteria, Bounds, and Algorithms.  ...  Cui, Y., +, TKDE Aug. 2019 1555-1568 Harnessing Multi-Source Data about Public Sentiments and Activities for Informed Design.  ... 
doi:10.1109/tkde.2019.2953412 fatcat:jkmpnsjcf5a3bhhf4ian66mj5y

Introduction [chapter]

Manfred Hafner, Simone Tagliapietra, Giacomo Falchetta, Giovanni Occhiali
2019 Nontuberculous Mycobacterial Disease  
community with resource mapping, least-cost electrification scenarios, and policy recommendations based on previous success stories.  ...  The framework is one of multi-objective development, where economic growth is to be achieved alongside affordable and clean energy diffusion, poverty eradication, zero hunger, good health, and other development  ... 
doi:10.1007/978-3-030-11735-1_1 fatcat:6lv666iqkjfyffvg25m7zjtfua

A Graph Based Visual Query Method for Massive Human Trajectory Data

Zhongshuai Wang, Yuan Yuan, Liang Chang, Xiyan Sun, Xiaonan Luo
2019 IEEE Access  
Second, there still needs a way to fuse the multi-source, heterogeneous, and large-scale urban data to partition the urban area, extract their semantic information, and provide intuitive, efficient trajectory  ...  Query is an essential task for trajectory exploration. To do this, users should input spatial, temporal and other types of query conditionals to obtain a group of filtered trajectories.  ...  In this paper, we explore multi-source data which includes POI data, base station sites data, and human trajectory data to construct a graph-based visual query system.  ... 
doi:10.1109/access.2019.2948304 fatcat:li7glaitrjgyjohrfwj367e4qi

Data-driven Computational Social Science: A Survey

Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong
2020 Big Data Research  
Social science concerns issues on individuals, relationships, and the whole society.  ...  The state-of-the-art research on human dynamics is reviewed from three aspects: individuals, relationships, and collectives.  ...  [143] proposed an information diffusion model in multi-relational networks, by distinguishing the power in passing information around for different types of relationships.  ... 
doi:10.1016/j.bdr.2020.100145 fatcat:jazh5b3itfgmvh4pn37l4v5m7y

A Survey on Visual Analytics of Social Media Data

Yingcai Wu, Nan Cao, David Gotz, Yap-Peng Tan, Daniel A. Keim
2016 IEEE transactions on multimedia  
We then explore the design space and identify the research trends. Finally, we discuss challenges and open questions for future studies.  ...  The unprecedented availability of social media data offers substantial opportunities for data owners, system operators, solution providers and end users to explore and understand social dynamics.  ...  Based on the findings, a comprehensive multi-source-driven asynchronous diffusion model was proposed to characterize the video diffusion behavior and predict the activation time on social media.  ... 
doi:10.1109/tmm.2016.2614220 fatcat:o4nc5eutpfhrplo4joa45dxbnq

Data science and AI in FinTech: An overview [article]

Longbing Cao, Qiang Yang, Philip S. Yu
2021 arXiv   pre-print
Smart FinTech is the new-generation FinTech, largely inspired and empowered by data science and new-generation AI and (DSAI) techniques.  ...  of smart FinTech futures to the DSAI communities.  ...  , multi-level, multi-lingual and knowledge-based dialogue, interactions and communications.  ... 
arXiv:2007.12681v2 fatcat:jntzuwaktjg2hmmjypi5lvyht4

Identifying the princes base on Altmetrics: An awakening mechanism of sleeping beauties from the perspective of social media

Jianhua Hou, Hao Li, Yang Zhang, Feng Xia
2020 PLoS ONE  
However, the rapid advancement of social media has altered the mode of scientific communication and knowledge diffusion.  ...  SBs based on the citation diffusion trajectory.  ...  However, the rapid advancement of social media has revolutionized the mode of scientific communication and knowledge diffusion.  ... 
doi:10.1371/journal.pone.0241772 pmid:33237932 fatcat:lgkmaa356jhvln2qz2yek6p7be
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