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x4mr7091551qtw.251.1643686470206; Mon, 31 Jan 2022 19:34:30 -0800 (PST) MIME-Version: 1.0 From: Jui-Yi Tsai Date: Tue, 1 Feb 2022 11:34:17 +0800 Message-ID: To: caml-list@inria.fr Content-Type: multipart/alternative; boundary="0000000000002dc82d05d6ec94d1" Subject: [Caml-list] Call for Paper =?UTF-8?Q?=E2=80=93?= The 7th International Workshop on Mobile Data Management, Mining, and Computing on Social Networks (MobiSocial 2022) Reply-To: Jui-Yi Tsai X-Loop: caml-list@inria.fr X-Sequence: 18686 Errors-To: caml-list-owner@inria.fr Precedence: list Precedence: bulk Sender: caml-list-request@inria.fr X-no-archive: yes List-Id: List-Help: List-Subscribe: List-Unsubscribe: List-Post: List-Owner: List-Archive: Archived-At: --0000000000002dc82d05d6ec94d1 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable *Call for Paper =E2=80=93 The 7th International Workshop on Mobile Data Man= agement, Mining, and Computing on Social Networks (MobiSocial 2022)* Social network and mining research has advanced rapidly with the prevalence of the online social websites and instant messaging social communications systems. In addition, thanks to the recent advances in deep learning, many novel applications with mobile devices and social networks have been proposed and deployed. These social network systems are usually characterized by complex network structures and abundant contextual information. Moreover, by incorporating the spatial dimension, mobile and location-based social networks are now immersed in people=E2=80=99s everyda= y life via numerous innovative websites. In addition, mobile social networks can be exploited to foster many interesting applications and analysis, such as recommendations of locations and travel planning of friends, location-based viral marketing, community discovery, group mobility and behavior modeling. The 7th International Workshop on Mobile Data Management, Mining, and Computing on Social Networks (MobiSocial 2022) will serve as a forum for researchers and technologists to discuss the state-of-the-art, present their contributions, and set future directions in data management, machine learning and knowledge mining for mobile social networks. The topics of interest related to this workshop include, but are not limited to: - Mobile sensing - Deep learning for mobile social networks - Blockchain for social networks - Graph mining - Contextual mobile social network analysis - Storing, indexing and querying of graph data - Distributed graph processing - Mobile social interaction and personalized search - Dynamics and evolution patterns of social networks, trend prediction - Analysis and mining of location-based social networks - Classification models and their applications in social recommender systems. - Processing of social media stream - Influence models and their applications in social environment. - Competitive viral marketing - Privacy and security in social networks - Privacy-preserving and precision-aware protocol/algorithm design for epidemic data collection - Mobile and distributed learning (e.g., federated learning, gossip learning, etc.) on Social Internet-o-Things (SIoTs) for epidemic source identification - Advanced AI techniques to support timely interactivity data analysis for Metaverse - Mobile healthcare - Modeling trust and reputation in mobile social networks. - Moving object tracking, indexing and retrieval for social applications - Location and trajectory mining of social data - Opinion mining for location related information - Location privacy, data sharing and security - Mobile and ubiquitous computing for location-based social networks - Cloud computing for location-based social data - Innovative mobile social networking applications - Multidisciplinary and interdisciplinary research on mobile social network= s - Model compression - Cross-layer design for SIoT and contact networks, e.g., cross-layer interaction mining, cross-layer inference, federated multimodal search from interactive SIoT and contact networks, etc. - Epidemiology-aware SIoT alarm to preventing and containing the epidemic spread, and mobility- and social-aware recommendation for trip, activity, and route with social distancing Important Dates: Paper submission deadline: March 25, 2022 Notification of acceptance: April 11, 2022 Camera-ready due: April 22, 2022 Workshop: June 6 (tentative) Workshop website: https://sites.google.com/view/mobisocial-2022/home --0000000000002dc82d05d6ec94d1 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable
Call for Paper =E2=80= =93 The 7th International Workshop on Mobile Data Management, Mining, and C= omputing on Social Networks (MobiSocial 2022)

Social network a= nd mining research has advanced rapidly with the prevalence of the online s= ocial websites and instant messaging social communications systems. In addi= tion, thanks to the recent advances in deep learning, many novel applicatio= ns with mobile devices and social networks have been proposed and deployed.= These social network systems are usually characterized by complex network = structures and abundant contextual information. Moreover, by incorporating = the spatial dimension, mobile and location-based social networks are now im= mersed in people=E2=80=99s everyday life via numerous innovative websites. = In addition, mobile social networks can be exploited to foster many interes= ting applications and analysis, such as recommendations of locations and tr= avel planning of friends, location-based viral marketing, community discove= ry, group mobility and behavior modeling.

The 7th International Work= shop on Mobile Data Management, Mining, and Computing on Social Networks (M= obiSocial 2022) will serve as a forum for researchers and technologists to = discuss the state-of-the-art, present their contributions, and set future d= irections in data management, machine learning and knowledge mining for mob= ile social networks.

The topics of interest related to this workshop= include, but are not limited to:
=C2=A0
- Mobile sensing
- Deep l= earning for mobile social networks
- Blockchain for social networks
-= Graph mining
- Contextual mobile social network analysis
- Storing, = indexing and querying of graph data
- Distributed graph processing
- = Mobile social interaction and personalized search
- Dynamics and evoluti= on patterns of social networks, trend prediction
- Analysis and mining o= f location-based social networks
- Classification models and their appli= cations in social recommender systems.
- Processing of social media stre= am
- Influence models and their applications in social environment.
-= Competitive viral marketing
- Privacy and security in social networks- Privacy-preserving and precision-aware protocol/algorithm design for ep= idemic data collection
- Mobile and distributed learning (e.g., federate= d learning, gossip learning, etc.) on Social Internet-o-Things (SIoTs) for = epidemic source identification
- Advanced AI techniques to support timel= y interactivity data analysis for Metaverse
- Mobile healthcare
- Mod= eling trust and reputation in mobile social networks.
- Moving object tr= acking, indexing and retrieval for social applications
- Location and tr= ajectory mining of social data
- Opinion mining for location related inf= ormation
- Location privacy, data sharing and security
- Mobile and u= biquitous computing for location-based social networks
- Cloud computing= for location-based social data
- Innovative mobile social networking ap= plications
- Multidisciplinary and interdisciplinary research on mobile = social networks
- Model compression
- Cross-layer design for SIoT and= contact networks, e.g., cross-layer interaction mining, cross-layer infere= nce, federated multimodal search from interactive SIoT and contact networks= , etc.
- Epidemiology-aware SIoT alarm to preventing and containing the = epidemic spread, and mobility- and social-aware recommendation for trip, ac= tivity, and route with social distancing

=C2=A0
Important Dates:<= br>Paper submission deadline: March 25, 2022
Notification of acceptance:= April 11, 2022
Camera-ready due: April 22, 2022
Workshop: June 6 (te= ntative)

Workshop website:=C2=A0https://sites.google.com/view/= mobisocial-2022/home
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