Anticipatory Computing: Crowd Intelligence from Social Network and Big Data

in Special Issue   Posted on August 13, 2017 

Information for the Special Issue

Submission Deadline: Sat 31 Mar 2018
Journal Impact Factor : 5.003
Journal Name : Computers in Human Behavior
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

Computers in Human Behavior

Call for paper:

Anticipatory Computing: Crowd Intelligence from Social Network and Big Data

Aims and Scope

Human needs urge the improvement of computing paradigms. Ubiquitous computing that shows higher mobility, cloud computing that provides better capability, and social computing that offers better interactivity are best instances. Each of them points out a particular implicit/explicit need, or expectation as well, from human beings, and attempts to realize the needs though specific approaches. Human beings, however, may look for more with the development of technology. A chatting robot is an example. This robot is expected to keep tight relationship with our social contacts when we do not have enough space and/or time to do so. It continuously interacts with our contacts by simulating our thinking pattern, behavior, and other correlated information. There are, of course, a lot of similar studies out there in fields, we may conclude them with a new computing paradigm named Anticipatory Computing. This computing paradigm indicates a field associated with a technology designed and able to anticipate the needs from specific users. It is also used with new technology or wearable technology performing an action in anticipation of a user’s request or making a suggestion to the user. It is not only an instance of artificial intelligence but also the next step, i.e., prediction plus action, after that. It can also be considered as a key to develop well-being in human society, and a way to achieve the ideal of “serve before you ask.” This phenomenon will become an opportunity and raise challenging issues in the field of computer science.

Considering the invaluable crowd intelligence residing in the social network and big data content, opportunities are emerging to enable promising smart applications for easing individual need, creating company business model, as well as facilitating smart life development. However, the nature of big data also poses fundamental challenges on the techniques and applications relying on the social big data from multiple perspectives such as algorithm effectiveness, computation speed, energy efficiency, user privacy, server security, data heterogeneity and system scalability.

This special issue aims at bringing together researchers, engineers, and interested pioneers from both academia and industry to report on, review, and exchange the latest progress of anticipation computing, to explore future directions of research, and to prompt better experience in different fields. We welcome papers focused on theoretical studies, practical applications, experimental prototypes, but survey paper is excluded.

Topics of interest include, but are not limited to:

  • Infrastructures: middleware systems and services; large-scale data management for anticipatory computing; clouds, cloudlets, and fog computing; integrations of smart devices; applications of device-to-device coordination, and heterogeneous pervasive and social data storage, model and analytics.
  • Theories, models, and algorithms: context modeling and reasoning; adaptive and context-aware computing; activity recognition; machine learning; deep learning; data mining; online data stream mining, location based services, cognitive techniques, and fusion integration from multi-source social big data.
  • Anticipatory computing and its extended fields: opportunistic networks; Internet of things; sensor networks; RFID systems.
  • Anticipatory computing and Human: participatory and social sensing; trust, security, and privacy; human behavior and user interface, interaction, and persuasion; social networking and pervasive computing.

Submission Procedure

Prospective authors are invited to submit research contributions representing original, previously unpublished work. Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Authors should prepare their manuscript according to the Guide for Authors at . To ensure that the manuscript is correctly identified for inclusion into the special issue, authors must select \” SI: Anticipatory Computing \” when they reach the “Article Type” step in the submission process.


Submission portal will be open from 30th November 2017 to 31st March 2018

Author notification: May 31, 2018

Final approval by Editor-in-chief: June 30, 2018

Expected publication date: Q4 2018 or Q1 2019

Guest editors:

Mu-Yen Chen, Ph.D
Department of Information Management
National Taichung University of Science and Technology, Taiwan
E-mail: [email protected]

Miltiadis D. Lytras, Ph.D
Department of Management Information Systems
American College of Greece, Athens, Greece
E-mail: [email protected]

Arun Kumar Sangaiah, Ph.D
School of Computing Science and Engineering,
VIT University, Tamil Nadu, India
E-mail: [email protected]

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