Special Issue "Selected Papers from IEEE ICICT 2019"

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (10 June 2019).

Special Issue Editors

Prof. Dr. Anu Gokhale
Website
Guest Editor
Illinois State University, Chicago, United States
Interests: complex networks; wireless systems; ad hoc and sensor networks; software-defined radios and software defined networks; on-line social networks; network modelling and optimization; network economics; cyber-physical systems; Internet of Things; future internet research experimentation
Prof. Dr. Symeon Papavassiliou
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Guest Editor
School of Electrical and Computer Engineering, National Technical University of Athens, Iroon Polytechniou 9, Athens, 15780, Greece
Interests: complex networks; wireless systems; ad hoc and sensor networks; software-defined radios and software-defined networks; online social networks; network modeling and optimization; network economics; cyber physical systems; Internet of Things; future internet research experimentation
Special Issues and Collections in MDPI journals
Prof. Dr. Eirini Eleni Tsiropoulou
Website
Guest Editor
Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131, USA
Interests: heterogeneous wireless networks; game theory; reinforcement learning; artificial intelligence; network economics; 5G networks; cyber-physical systems; Internet of Things
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The International Conference on Information and Computer Technologies brings together researchers from different scientific communities working on areas related to information and computer technologies. The variety of scientific topics ranges from computer networks, computing practices and applications, data mining, image processing, pattern recognition, bioinformatics and scientific computing, and wireless communication, to mobile computing. For the 2nd edition of this annual event, more than 100 contributions have been received from 15 countries around the world. The papers invited for submission to this Special Issue are technically beyond the scope of the contributions appearing in the conference proceedings and include significantly new research. They reflect the latest problems, advances, and diversity within the complex network community.

Prof. Dr. Anu Gokhale
Prof. Dr. Symeon Papavassiliou
Dr. Eirini Eleni Tsiropoulou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

Open AccessArticle
Social Emotional Opinion Decision with Newly Coined Words and Emoticon Polarity of Social Networks Services
Future Internet 2019, 11(8), 165; https://doi.org/10.3390/fi11080165 - 25 Jul 2019
Cited by 2
Abstract
Nowadays, based on mobile devices and internet, social network services (SNS) are common trends to everyone. Social opinions as public opinions are very important to the government, company, and a person. Analysis and decision of social polarity of SNS about social happenings, political [...] Read more.
Nowadays, based on mobile devices and internet, social network services (SNS) are common trends to everyone. Social opinions as public opinions are very important to the government, company, and a person. Analysis and decision of social polarity of SNS about social happenings, political issues and government policies, or commercial products is very critical to the government, company, and a person. Newly coined words and emoticons on SNS are created every day. Specifically, emoticons are made and sold by a person or companies. Newly coined words are mostly made and used by various kinds of communities. The SNS big data mainly consist of normal text with newly coined words and emoticons so that newly coined words and emoticons analysis is very important to understand the social and public opinions. Social big data is informally made and unstructured, and on social network services, many kinds of newly coined words and various emoticons are made anonymously and unintentionally by people and companies. In the analysis of social data, newly coined words and emoticons limit the guarantee the accuracy of analysis. The newly coined words implicitly contain the social opinions and trends of people. The emotional states of people significantly are expressed by emoticons. Although the newly coined words and emoticons are an important part of the social opinion analysis, they are excluded from the emotional dictionary and social big data analysis. In this research, newly coined words and emoticons are extracted from the raw Twitter’s twit messages and analyzed and included in a pre-built dictionary with the polarity and weight of the newly coined words and emoticons. The polarity and weight are calculated for emotional classification. The proposed emotional classification algorithm calculates the weight of polarity (positive or negative) and results in total polarity weight of social opinion. If the total polarity weight of social opinion is more than the pre-fixed threshold value, the twit message is decided as positive. If it is less than the pre-fixed threshold value, the twit message is decided as negative and the other values mean neutral opinion. The accuracy of the social big data analysis result is improved by quantifying and analyzing emoticons and newly coined words. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICICT 2019)
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Open AccessArticle
Town-Watching Workshop Using Disaster Information Tweeting and Mapping System
Future Internet 2019, 11(7), 150; https://doi.org/10.3390/fi11070150 - 07 Jul 2019
Cited by 1
Abstract
Self- and mutual-help by citizens are important as well as social-help from the local governments, for disaster prevention and mitigation. Then, town watching and disaster prevention map-making workshops are held to review the town and promote self- and mutual-help by citizens. On the [...] Read more.
Self- and mutual-help by citizens are important as well as social-help from the local governments, for disaster prevention and mitigation. Then, town watching and disaster prevention map-making workshops are held to review the town and promote self- and mutual-help by citizens. On the other hand, the use of social media for information sharing during and after disasters has been gaining attention. To facilitate information sharing in disasters, we developed a web system, Disaster Information Tweeting and Mapping System (DITS/DIMS). From the above background, we organized a town-watching workshop using DITS/DIMS in October 2018 in Minami Ward, Sapporo City, Hokkaido, Japan; affected area of the Hokkaido Eastern Iburi Earthquake in September 2018. In this paper, we explain the workshop procedure, outcome, questionnaire survey results, and post-meeting. The questionnaire survey result shows that the workshop educated the participants about posting useful information on social media during a disaster. In addition, at the post-meeting, the participants recognized that they had reviewed the town only from the perspective of “daily life” convenience before the earthquake, and they had not evaluated the “emergency viewpoint.” Therefore, the workshop was a meaningful opportunity for the participants to review the town in terms of disaster prevention and mitigation. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICICT 2019)
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