Workshops

Session AoI-S1: Session 1: Information Updates for Estimation, Computing and Control Session AoI-S2: Session 2: Age of Information and Energy Efficiency Session AoI-S3: Session 3: Age of Information and Emerging Applications Session AoI-S4: Session 4: Age of Information in Wireless Networks
Session BigSecurity-S1: Big Security 1 Session BigSecurity-S2: Big Security 2 Session BigSecurity-S3: Big Security 3 Session BigSecurity-S4: Big Privacy 1
Session BlockSecSDN-KT1: Keynote Talk 1 Session BlockSecSDN-1: Software-Defined Networks Session BlockSecSDN-2: Internet of Things Session BlockSecSDN-KT2: Keynote Talk 2 Session BlockSecSDN-3: Vehicular Networks Session BlockSecSDN-4: Smart Grid and Heterogeneous Networks
Session Coffee-Break-1-AM: Virtual Coffee Break Session Lunch-Break-1: Virtual Lunch Break Session Coffee-Break-1-PM: Virtual Coffee Break
Session CNERT-Opening: Opening Session Session CNERT-Keynote: Keynote Session CNERT-Session-I: Session I: Wireless Networks Session CNERT-Panel-on-Reproducibility: Panel on Reproducibility Session CNERT-Session-II: Session II: Wired Networks Session CNERT-Demo-Session: Demo Session Session CNERT-Closing: Reproducibility Award and Closing
Session DDINS-OS: Opening Session — Message from the Chairs Session DDINS-S1: Data Driven Smart Cities Session DDINS-K1: Keynote Session 1 Session DDINS-S2: Data Driven Intelligent Computing and Application Session DDINS-S3: Data Driven Distributed Computing Session DDINS-K2: Keynote Session 2 Session DDINS-S4: Data Driven Brain Computing Session DDINS-S5: Data Driven Networking 1 Session DDINS-S6: Data Driven Networking 2
Session DroneCom-Opening: Opening Session Session DroneCom-KS1: Keynote Session 1 Session DroneCom-TS1: Technical Session I: Industrial Internet of Things Session DroneCom-IT1: Industrial Talk 1 Session DroneCom-IT2: Industrial Talk 2 Session DroneCom-TS2: Technical Session II: Heterogeneous Networks Session DroneCom-KS2: Keynote Session 2 Session DroneCom-TS3: Technical Session III: Security and Energy Efficiency Session DroneCom-IT3: Industrial Talk 3 Session DroneCom-TS4: Technical Session IV: Other Drone Applications Session DroneCom-Closing: Concluding Remarks
Session EdgeBlock-Open: Opening Session — Message From Chairs Session EdgeBlock-S1: Blockchain and Fog/Edge Session EdgeBlock-S2: Blockchain Application 1 Session EdgeBlock-S3: Smart Contract Session EdgeBlock-S4: Blockchain and RNG Session EdgeBlock-S5: Decentralization Session EdgeBlock-S6: Blockchain Application 2
Session Opening-HotPOST: Opening Remarks Session Keynote-HotPOST: Keynote Talk Session S1-HotPOST: Session 1: Pervasive Applications Session S2-HotPOST: Session 2: Social Systems Session Closing-HotPOST: Closing Remarks
Session ICCN-Opening: Opening Session Session ICCN-S1: Session 1: Cloud Applications 1 Session ICCN-KS1: Keynote Session 1 Session ICCN-S2: Session 2: Cloud Network Session ICCN-S3: Session 3: Cloud System Session ICCN-S4: Session 4: Cloud Security Session ICCN-KS2: Keynote Session 2 Session ICCN-S5: Session 5: Cloud Applications 2 Session ICCN-S6: Session 6: Edge Cloud
Session IWECN-S1: Session 1: Network Planning Session IWECN-S2: Session 2: Network Reliability
Session MobiSec-S1: Mobile Security Session MobiSec-Keynote: Keynote Session MobiSec-S2: Network & Communication Security Session MobiSec-S3: Privacy, Trust & Threats Session MobiSec-S4: General Topics
Session NI-Opening: Opening Session NI-Session-1: Session 1: Networking Aspects Session NI-Keynote: Keynote Session NI-Session-2: Session 2: Resource Management Aspects Session NI-Closing: Closing
Session New-IP-Opening: Opening Session Session New-IP-Keynote: Keynote Speech Session New-IP-S1: Session 1: The X-D-N for New Protocol Session New-IP-S2: Session 2: The New IP Capabilities and Protocol Design
Session PERSIST-IoT-Opening: Opening Session Session PERSIST-IoT-S1: Physical Layer Session PERSIST-IoT-kS1: Keynote Session Session PERSIST-IoT-S2: NOMA Session PERSIST-IoT-S3: Automated Connected Vehicles Session PERSIST-IoT-S4: Edge Computing & IoT
Session WCNEE-Opening: Opening Session Session WCNEE-Keynote: Keynote Session Session WCNEE-S1: Session 1: Secure and Reliable Communications in Smart Grid, Deep Space, Underwater and Wireless UAV Networks Session WCNEE-S2: Session 2: Wireless Communication and Localization Protocols for Underground Sensing, Autonomous Vehicles and In-Vivo NanoSensor Networks Session WCNEE-Closing: Closing Session
Session WNA-Opening: Opening Session Session WNA-Session-I: Session 1: Traffic Optimization Algorithms Session WNA-Demo-Session: Demo and Banner Show Session WNA-Session-II: Session 2: Traffic Engineering and Machine Learning
Session WISARN-O: Opening Session Session WISARN-K: Keynote Session Session WISARN-S1: Session I: Communication Technologies for UAV Tracking and Networking Session WISARN-S2: Session II: Integrating 5G and UAV Networks Session WISARN-S3: Session III: Frameworks for UAV-Based Networking and Computation

The 12th International Workshop on Hot Topics in Pervasive Mobile and Online Social Networking (HotPOST 2020)

Session Opening-HotPOST

Opening Remarks

Conference
2:30 PM — 2:35 PM EDT
Local
Jul 6 Mon, 2:30 PM — 2:35 PM EDT

Opening Remarks

To Be Determined

0
This talk does not have an abstract.
Session Chair

Huber Flores (University of Tartu, Estonia) Shaolei Ren (University of California Riverside, USA)

Session Keynote-HotPOST

Keynote Talk

Conference
2:35 PM — 3:35 PM EDT
Local
Jul 6 Mon, 2:35 PM — 3:35 PM EDT

Pervasive Social Applications

To Be Determined

0
This talk does not have an abstract.
Session Chair

To Be Determined

Session S1-HotPOST

Session 1: Pervasive Applications

Conference
4:00 PM — 5:00 PM EDT
Local
Jul 6 Mon, 4:00 PM — 5:00 PM EDT

Exploring Approaches to the Management of Physical, Virtual, and Social Sensors

Ngombo Armando (University of Coimbra, Portugal & Escola Superior Politécnica do Uíge, Angola); José Marcelo Silva Lopes Fernandes (University of Coimbra, Portugal); André Rodrigues (Centre of Informatics and Systems of the University of Coimbra & Polytechnic Institute of Coimbra, ISCAC, Portugal); Jorge Sá Silva and Fernando Boavida (University of Coimbra, Portugal)

0
As the Internet of Things (IoT) get bigger and more complex, efficient and effective management solutions must be developed and put into operation. IoT management is even more crucial if, in addition to managing physical sensors, we want to have a unified IoT management that is able to cope with virtual (software) sensors and human-based sensors, which provide contextualised data via Online Social Networks (OSN). In this paper we present and explore approaches to this unified management, resorting to open and widely adopted standards for both data and device management, namely OMA-LwM2M and FIWARE. We present a proof-of-concept implementation that shows that the management of the referred three types of sensing is feasible from the functional and performance points of view.

Migrating to SDN for Mobile Core Networks: A Dynamic and Global Perspective

Xiaole Li, Hongyun Zheng and Yuchun Guo (Beijing Jiaotong University, China)

0
The rapid growth of mobile traffic and the vast variety online activities demand enhancement of mobile networks. Software-Defined Networking (SDN) is considered a promising solution for the core network. But upgrading to SDN from a legacy network is a multi-period process. From both dynamic and global perspectives, during the migration it needs to simultaneously consider optimizing the local goal at each intermediate step and the global goal. This involves in some essential questions that have to be answered: which legacy devices to upgrade and when to, and how to place controllers. Due to interaction between the local goals and the global goal, however, to answer these questions together is challenging. In this paper we study the SDN migration problem and answer all of these questions together. We formulate the SDN migration problem as a time-varying dual-objective dynamic optimization model, in which the timing factor is taken into account, and the objective of optimization varies with time. Then we introduce a penalty item to convert the dual-objective dynamic optimization problem to a series of single step optimization problems that can be solved directly by CPLEX for small scale networks. The simulation results based on real network topology show that our model can obtain a tradeoff between the local goals and global one.

Point-of-Interest Recommendation based on Geographical Influence and Extended Pairwise Ranking

Chang Su, Jin Wang and Xie Xian-Zhong (Chongqing University of Posts and Telecommunications, China)

0
In recent years, recommendation based on explicit feedback data has been extensively studied. However, in the field of Point-of-Interest (POI) recommendation, check-in information is usually implicit feedback, that is, we can only observe positive data where users interact with POIs. The lack of negative samples brings difficulties to the research of POI recommendation. Although there have been recently studies converted the rating prediction into the POIs ranking by constructing pairwise preference assumption, they only consider the optimization of the ranking of one POI pair, which the value of negative data is underutilized. In addition, the geographical influence has not been fully utilized. Hence, we propose a recommendation model based on geographic influence and extended pairwise ranking (GIEPR). Extensive empirical studies on two publicly available datasets show that our method performs significantly better than state-of-the-art methods for POI recommendation.
Session Chair

To Be Determined

Session S2-HotPOST

Session 2: Social Systems

Conference
5:00 PM — 6:00 PM EDT
Local
Jul 6 Mon, 5:00 PM — 6:00 PM EDT

Characterizing Social Marketing Behavior of E-commerce Celebrities and Predicting Their Value

Xiang Li, Yuchun Guo, Ye Sheng and Yishuai Chen (Beijing Jiaotong University, China)

0
With the rapid development of online social networks, marketing through online social platforms attracts a lot of attention. Recently, a special social marketing method is prevailing, i.e., e-commerce celebrities(ECs). ECs run their social network accounts to attract followers and then sell products to them directly. While the sales of ECs have dominated the e-commerce marketing in China, there is, however, a lack of accurate measurement and model about it. In this paper, we first conduct a large-scale cross-platform measurement on two of the biggest online social network platforms and e-commerce platforms in China, i.e., Sina Weibo and Taobao. We then characterize the typical behavioral patterns of ECs and build a machine learning model to quantitatively represent the relationship between the social network behavior and their product sale volumes. Experimental results show that we can accurately predict an EC's sale volume based on the 41 social network behavior features (F1 score can reach 0.83). Furthermore, we obtain the top-10 most important features that affect the sales. Our measurement and modeling results provide beneficial insights in understanding and optimizing social marketing for ECs.

The German-Speaking Twitter Community Reference Data Set

Johannes Pflugmacher and Stephan Escher (TU Dresden, Germany); Jan Ludwig Reubold (Karlsruhe Institute of Technology, Germany); Thorsten Strufe (Karlsruhe Institute of Technology & Centre for Tactile Internet (CeTI)/TU Dresden, Germany)

0
In recent years, news providers, as well as politicians, made massive efforts to publish and disseminate their content on online social media networks to reach a wider audience. Considering the ubiquity of mobile devices, social media users started to consume daily news directly on the platforms, mainly in an incidental manner. This way of information consumption bears many risks. Social media users tend to overly trust information distributed by their friends in the network and therefore fail to evaluate the credibility and trustworthiness of information sources. The results are lower levels of political learning and the risk of partisan echo chambers, which are user groups that only amplify and reinforce their own beliefs. To measure and understand these phenomenons one has to analyze the user behavior on these platforms, requiring a virtually complete data set of Twitter usage of the targeted community. In this work, we focus on collection techniques to obtain a complete data set of sub-groups of Twitter users, i.e. specifically targeting German-tweeting Twitter users. Therefore, we collect a representative snapshot of the German Twitter traffic over two months, including 77 million tweets and $6.9$ million users. Finally, we report on exhaustive evaluations on the virtually complete data. Our examination also showed the massive impact of political events, such as the 2019 European Parliament election, on the German Twitter-sphere.
Session Chair

To Be Determined

Session Closing-HotPOST

Closing Remarks

Conference
6:00 PM — 6:15 PM EDT
Local
Jul 6 Mon, 6:00 PM — 6:15 PM EDT

Closing Remarks

To Be Determined

0
This talk does not have an abstract.
Session Chair

Huber Flores (University of Tartu, Estonia) Shaolei Ren (University of California Riverside, USA)

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