A social network based approach to identify and rank influential nodes for smart city

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bharat Arun Tidke ◽  
Rupa Mehta ◽  
Dipti Rana ◽  
Divyani Mittal ◽  
Pooja Suthar
Keyword(s):  
Social Network ◽  
Smart City ◽  
Large Scale ◽  
Urban Governance ◽  
Online Social Network ◽  
City Development ◽  
Content Type ◽  
Twitter Data ◽  
Heterogeneous Features ◽  
Influential Nodes

Purpose In online social network analysis, the problem of identification and ranking of influential nodes based on their prominence has attracted immense attention from researchers and practitioners. Identification and ranking of influential nodes is a challenging problem using Twitter, as data contains heterogeneous features such as tweets, likes, mentions and retweets. The purpose of this paper is to perform correlation between various features, evaluation metrics, approaches and results to validate selection of features as well as results. In addition, the paper uses well-known techniques to find topical authority and sentiments of influential nodes that help smart city governance and to make importance decisions while understanding the various perceptions of relevant influential nodes. Design/methodology/approach The tweets fetched using Twitter API are stored in Neo4j to generate graph-based relationships between various features of Twitter data such as followers, mentions and retweets. In this paper, consensus approach based on Twitter data using heterogeneous features has been proposed based on various features such as like, mentions and retweets to generate individual list of top-k influential nodes based on each features. Findings The heterogeneous features are meant for integrating to accomplish identification and ranking tasks with low computational complexity, i.e. O(n), which is suitable for large-scale online social network with better accuracy than baselines. Originality/value Identified influential nodes can act as source in making public decisions and their opinion give insights to urban governance bodies such as municipal corporation as well as similar organization responsible for smart urban governance and smart city development.

Successful collaboration between smart city consortium and Hong Kong Government in Covid-19 dashboard: the case of leadership in practice

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daniel Jung Yue Chun ◽  
Wahid Abdul Nabsiah ◽  
Cheng Ling Tan
Keyword(s):  
Hong Kong ◽  
Smart City ◽  
Third Party ◽  
City Development ◽  
Structured Interviews ◽  
Content Type ◽  
Non Profit ◽  
Mass Collaboration ◽  
The Government

Purpose This paper aims to discover why such a public partnership project had been successful with a non-profit third-party alliance such as a smart city consortium (SCC) promoting smart city development. Design/methodology/approach This descriptive case study is primarily based on analysing data collected from various texts, public statements, media interviews and three semi-structured interviews with key members involved in the Covid-19 dashboard project. Findings The data and analysis reviews that both interpersonal and interorganisational trust, dedication and proactiveness of the leaders at SCC were major contributing factors to why SCC was able to partner with the Hong Kong Government in the Covid-19 dashboard in the first place and that the success was also a direct outcome of effective mass collaborative knowledge management activities. Research limitations/implications The research in leadership attributes and activities in the non-profit alliance has been few and this collaborative partnership between the alliance and the government is an example of the importance of further research in smart city leadership. Practical implications In deploying projects for mass collaboration and knowledge sharing in smart city development (which is multi-disciplinary in nature). there are still many new and evolving organisational practices and leadership matters that many business leaders and city managers can learn from. Social implications Smart city development projects involve the notion of sharing data in an open environment enabled by software and mediating tools. Successful projects such as this Hong Kong Covid-19 dashboard which serves a diverse audience can further promote the importance of an open data policy regime for the benefit of the public. Originality/value This case study covers a highly original and unique case study with the leaders at the SCC and representatives from the Hong Kong Government.

scholarly journals SMART CITY DEVELOPMENT, URBAN GOVERNANCE AND AFFORDABLE HOUSING IN LAGOS NIGERIA

2021 ◽  
Vol 06 (01) ◽  
pp. 51-69
Author(s):  
Christian Odefadehan ◽  
Keyword(s):  
State Government ◽  
Affordable Housing ◽  
Smart City ◽  
Urban Governance ◽  
Low Cost ◽  
Economic Capital ◽  
City Development ◽  
Secondary Sources ◽  
The Government ◽  
The City

Smart city is a major discussion in metropolitan planning and governance as it involves using technology to create livable spaces for the present and the future; it also considers issues of mobility, governance, economy and energy production. The innovation of smart city initiative can be beneficial to urban planning and policies for house provision. The housing challenge is a prominent issue in Lagos, the economic capital of Nigeria with more than 20 million inhabitants. Despite the attempts by the Lagos state government to create low-cost housing for citizens living and working in the city, there are still enormously high housing deficits because of the city’s overpopulation and limited resources. The city still lacks adequate infrastructures for mobility, networking and affordable housing as some people come from other states to work in the state; this has increased the urban carbon emissions. Yet, emerging discourses on housing infrastructure have rarely engaged the smart city question in urban governance of Lagos. Although there is a plethora of literature interrogating urbanization processes and housing, there are feeble attempts at explaining the notion of the smart city as the panacea for infrastructural inadequacies and urban development. This research examines the concept of smart city and its implication for urban governance structures and affordable housing in Lagos, drawing information and data from interviews and relevant secondary sources. The relevance of this study is to the government, private sector and architectural community is formulating policies through the application of the smart city concept in a megacity in a developing country like Lagos.

scholarly journals Online social network security awareness: mass interpersonal persuasion using a Facebook app

2019 ◽  
Vol 32 (5) ◽  
pp. 1276-1300
Author(s):  
Ehinome Ikhalia ◽  
Alan Serrano ◽  
David Bell ◽  
Panos Louvieris
Keyword(s):  
Social Network ◽  
Online Social Network ◽  
Social Engineering ◽  
Security Awareness ◽  
Structured Interviews ◽  
Experimental Conditions ◽  
Content Type ◽  
Paired Samples ◽  
Mip Model ◽  
System Usability Scale

Purpose Online social network (OSN) users have a high propensity to malware threats due to the trust and persuasive factors that underpin OSN models. The escalation of social engineering malware encourages a growing demand for end-user security awareness measures. The purpose of this paper is to take the theoretical cybersecurity awareness model TTAT-MIP and test its feasibility via a Facebook app, namely social network criminal (SNC). Design/methodology/approach The research employs a mixed-methods approach to evaluate the SNC app. A system usability scale measures the usability of SNC. Paired samples t-tests were administered to 40 participants to measure security awareness – before and after the intervention. Finally, 20 semi-structured interviews were deployed to obtain qualitative data about the usefulness of the App itself. Findings Results validate the effectiveness of OSN apps utilising a TTAT-MIP model – specifically the mass interpersonal persuasion (MIP) attributes. Using TTAT-MIP as a guidance, practitioners can develop security awareness systems that better leverage the intra-relationship model of OSNs. Research limitations/implications The primary limitation of this study is the experimental settings. Although the results testing the TTAT-MIP Facebook app are promising, these were set under experimental conditions. Practical implications SNC enable persuasive security behaviour amongst employees and avoid potential malware threats. SNC support consistent security awareness practices by the regular identification of new threats which may inspire the creation of new security awareness videos. Social implications The structure of OSNs is making it easier for malicious users to carry out their activities without the possibility of detection. By building a security awareness programme using the TTAT-MIP model, organisations can proactively manage security awareness. Originality/value Many security systems are cumbersome, inconsistent and non-specific. The outcome of this research provides organisations and security practitioners with a framework for designing and developing proactive and tailored security awareness systems.

scholarly journals A fuzzy synthetic evaluation of the challenges of smart city development in developing countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Douglas Omoregie Aghimien ◽  
Clinton Aigbavboa ◽  
David J. Edwards ◽  
Abdul-Majeed Mahamadu ◽  
Paul Olomolaiye ◽  
...  
Keyword(s):  
Developing Countries ◽  
Smart City ◽  
Smart Cities ◽  
Synthetic Approach ◽  
Fuzzy Synthetic Evaluation ◽  
City Development ◽  
Content Type ◽  
Legal Challenges ◽  
Synthetic Evaluation

PurposeThis study presents a fuzzy synthetic evaluation of the challenges of smart city realisation in developing countries, using Nigeria as a case study. By defining and delineating the problems faced by the country, more viable directions to attaining smart city development can be achieved.Design/methodology/approachThe study adopted a post-positivist philosophical stance with a deductive approach. A structured questionnaire was used to gather data from built environment professionals involved in the delivery of Nigerian public infrastructures. Six dimensions of the challenges of smart cities were identified from literature and explored. They are governance, economic, social, technological, environmental and legal issues. Data gathered were analysed using Cronbach alpha test for reliability, Shapiro-Wilks test for normality, Kruskal-Wallis H-test for consistency and fuzzy synthetic evaluation test for the synthetic evaluation of the challenges of smart city attainment.FindingsThe findings revealed that all six assessed dimensions have a significant impact on the attainment of smart cities in Nigeria. More specifically, issues relating to environmental, technological, social and legal challenges are more prominent.Originality/valueThe fuzzy synthetic approach adopted provides a clear, practical insight on the issues that need to be addressed before the smart city development can be attained within developing countries.

Prediction of Social Influence for Provenance of Misinformation in Online Social Network Using Big Data Approach

2020 ◽  
Author(s):  
Kumaran P ◽  
Rajeswari Sridhar
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Law Enforcement ◽  
Online Social Networks ◽  
Large Scale ◽  
Online Social Network ◽  
Root Cause ◽  
Minimum Number ◽  
Targeted Marketing ◽  
Implicit And Explicit

Abstract Online social networks (OSNs) is a platform that plays an essential role in identifying misinformation like false rumors, insults, pranks, hoaxes, spear phishing and computational propaganda in a better way. Detection of misinformation finds its applications in areas such as law enforcement to pinpoint culprits who spread rumors to harm the society, targeted marketing in e-commerce to identify the user who originates dissatisfaction messages about products or services that harm an organizations reputation. The process of identifying and detecting misinformation is very crucial in complex social networks. As misinformation in social network is identified by designing and placing the monitors, computing the minimum number of monitors for detecting misinformation is a very trivial work in the complex social network. The proposed approach determines the top suspected sources of misinformation using a tweet polarity-based ranking system in tandem with sarcasm detection (both implicit and explicit sarcasm) with optimization approaches on large-scale incomplete network. The algorithm subsequently uses this determined feature to place the minimum set of monitors in the network for detecting misinformation. The proposed work focuses on the timely detection of misinformation by limiting the distance between the suspected sources and the monitors. The proposed work also determines the root cause of misinformation (provenance) by using a combination of network-based and content-based approaches. The proposed work is compared with the state-of-art work and has observed that the proposed algorithm produces better results than existing methods.

The role of individual-social-technology fit in online social network value development: an empirical study

Info ◽  
2015 ◽  
Vol 17 (5) ◽  
pp. 66-81 ◽  
Author(s):  
ChienHsing Wu ◽  
Shu-Chen Kao ◽  
Hsin-Yi Liao
Keyword(s):  
Social Network ◽  
Online Social Network ◽  
Social Software ◽  
Social Technology ◽  
Content Type ◽  
The Social ◽  
Social Features ◽  
Individual Features ◽  
The Individual

Purpose – The purpose of this study is to reveal the role of individual–social–technology fit in online social network (OSN) value development. The social software features (e.g. communication and interaction), social features (e.g. privacy and trust) and individual features (e.g. sense of belonging and self-disclosure) are considered fitting forms to describe the OSN value. Implications and suggestions are addressed. Design/methodology/approach – The literature review on social software, the social and individual characteristics and the research gap with respect to OSN value is presented. The research arguments are then hypothesized, and research model used to describe the proposed role is examined empirically. The research targeted mobile phone users as the subjects, and the extent of the activities of these users on OSN for both work and studies. A salient investigation explores the moderation effect of gender. The research results are obtained, and the findings are revealed on the basis of 468 social software users. Findings – The significant effect of individual–social–technology fit on OSN value development is presented through the satisfaction of both participation and sharing information, and knowledge about this fit is verified. The interplay of social software, social and individual features contributes significantly to individual–social–technology fit development, implying that OSN value development is not a single issue. OSN value development should be considered concurrently with technological, personal and social issues. Research limitations/implications – The empirical study confirms that fitness analysis produces a systematic outcome, in which all elements (e.g. social, technology and individual) are required to cooperate with one another to maximize the OSN value. An individual adopts online channels to communicate with others; thus, the benefits may be a multidimensional issue instead of only a single information service issue. They also consider building an equal social relationship to be important, as it enables diverse propositions, maintains acceptable privacy and behaves on faith to enhance the fit of technology features and individual features to value development. The subjects also likely accepted the fact that emotion generation is important for the advantage of fit of technology features and social features, thereby likely benefitting OSN value development. Originality/value – The OSN does not only add new values to the society but also brings new effects on social development, especially in terms of social cognition from virtual community formation, development and creation. Although existing studies in the literature present the important aspects and antecedents linked significantly to OSN value development, these studies also insufficiently discuss the effect of fit of these facets on OSN value development. This exploratory study mainly aims to propose and examine the individual–social–technology fit model through an empirical investigation. The main argument of the study is that when a positive and healthy virtual society is developed through social software, the individual and social characteristics, as well as the social software features, should be defined with a suitable fit to promote the social networking value.

University’s multi-scale initiatives for redefining city development

2017 ◽  
Vol 18 (1) ◽  
pp. 50-62 ◽  
Author(s):  
Natalia Ratajczyk ◽  
Iwona Wagner ◽  
Agnieszka Wolanska-Kaminska ◽  
Tomasz Jurczak ◽  
Maciej Zalewski
Keyword(s):  
Green Infrastructure ◽  
Large Scale ◽  
Natural Capital ◽  
Legal Protection ◽  
Education Institution ◽  
City Development ◽  
Capital Projects ◽  
Content Type ◽  
The University ◽  
The City

Purpose The purpose of this paper is to present the varied roles played by the University of Lódz (UL) in maintaining and restoring the natural capital of a city as a driver for sustainable city development. The higher education institution can be perceived as visionary, originator and executor of natural capital projects. Design/methodology/approach The paper analyses three cases performed by the Faculty of Biology and Environmental Protection, UL, in the city of Lódz. The activities are based on different scales ranging from city-wide to local, e.g. river and green infrastructure, and which vary in character from policy planning to implementation. Findings Natural capital projects influence city development on different levels: by the initiation of legal protection, by the implementation of rehabilitation concepts for rivers and by influencing the strategic documents for mid-term and long-term urban development. Originality/value The university has the potential for multidisciplinary engagement in the development of urban sustainability. In large-scale projects, academics play a more conceptual role, in capacity building and knowledge transfer, while in local-scale implementations, their role includes innovation, know-how and technology transfer. Moreover, it may act as a reinforcement hub, by safeguarding and strengthening the natural capital of the city.

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