First International workshop on Social human behavior Analysis through Online social networks and media IEEE/ACM SAO 2018

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活动简介

SAO aims to provide an interdisciplinary reference forum focusing on the use of Online Social Networks and Media (OSNEM) as a "BigData microscope" to investigate the human social behavior. Since both both tools and techniques to "build" (or improve) such a SAML aims at engaging researchers working (i) on efficient methods, tools and techniques to search for, collect and analyze large-scale datasets from OSNEM, as well as (ii) on analyzing and characterizing human social behaviors through OSNEM data.

The type of papers we seek is manifold. One the one hand, the workshop aims to attract work injection innovative tools and methodologies to collect OSNEM data, search for relevant information, for the benefit of BigData analysis on the human social behaviour. Wish to abstract papers highlighting novel results in the application of BigData analytics tools to characterise, through the analysis of OSNEM data, such as social network structures, patterns of information, and establishment of trust and influence, emerging polymorphism . Finally, we aim to attract papers proposing and validating, through the analysis of OSNEM data, novel models of the human social behaviour. One objective of SAO is thus to attract papers, with a quantitative approach,From multiple communities of researchers working on these topics. This includes computer scientists, as well as social scientists, complex network physicist, anthropologists, behavioural economists.

组委会

Workshop Chairs

Marco Conti, Institute for Informatics and Telematics, National Research Council (IIT-CNR), Italy
Andrea Passarella, Institute for Informatics and Telematics, National Research Council (IIT-CNR), Italy
Fabrizio Silvestri, Facebook, UK

Web Manager

Maria Bucci, Institute of Informatics and Telematics of CNR, Italy

征稿信息

重要日期

2018-06-08

摘要截稿日期

2018-06-15

初稿截稿日期

2018-07-17

初稿录用日期

Topics of interest include but are not limited to:

OSNEM platforms, protocols and applications to collect data about the human online social behaviour;
Decentralized, mobile and location-based OSNEM;
Information collection, extraction and search in OSNEM;
Measurement, analysis and modeling of popular OSNEM platforms (Facebook, Twitter, Instagram, Flickr, etc.);
Social network structures emerging in OSNEM;
Analysis of the human social behavior in OSNEM compared to the "offline" world;
Measurement, analysis and modeling of social networked users' behavior through OSNEM data;
Social media analysis and social analytics;
Analysis of trust, reputation, privacy and security in OSNEM;
Dynamics of trends, information and opinion diffusion in OSNEM;
Recommendations and advertising in OSNEM;
Analysis of urban social behavior through OSNEM data;
Analysis of complex human social phenomena through OSNEM data (economics, health, well-being, society, politics, homeland security, migration, etc.)
Complex-network analysis of human social behavior through OSNEM;
Crowdsourcing in OSNEM for social behavior analysis.

Papers should neither have been published elsewhere nor currently under review by another conference or journal. Guidelines on paper submission and formatting are available at http://cnd.iit.cnr.it/sao2018. Accepted papers will appear in the workshop proceedings and forwarded For inclusion in IEEE Computer Society Digital Library (CSDL), IEEE eXplore, and the ACM Digital Library. At least one author of each accepted paper is required to register and present their work at the workshop.

Editorial follow-ups
Extended versions of workshop selected papers will be considered for possible fast track publication on the Online Social Networks and Media Journal (Elsevier) .

作者指南

Submission Instructions

Papers must be written in English and formatted according to the IEEE two-column template. Author instructions, style files and copyright form can be sold here .

We accept two types of submissions, ie, full papers and "disruptive" papers .

Full papers can be up to six (6) pages, plus 2 additional pages if needed.
A traumaive idea should be really novel. Not disruptive (usually), while proposing a totally new problem addressing a particularly new challenge, is disruptive. Disruptive papers will be evaluated by the PC, according to a standard review process.

Submissions must be self-contained and in English. Papers should neither have been published nor nor currently under review by another conference or journal. Submissions that do not follow these guidelines may be rejected without review.

Papers will be reviewed single-blind.

At Accept one and accepted

papers (both regularly and disruptive) will be included in the Conference Proceedings and forwarded for inclusion in IEEE Computer Society Digital Library (CSDL), IEEE eXplore, and the ACM Digital Library. The conference proceedings will be submitted for El indexing through INSPEC by the IEEE.