Smart City Gnosys
Smart city article details
| Title | Governance In Smart City: An Approach Based On Social Network |
|---|---|
| ID_Doc | 28150 |
| Authors | Dey P.; Roy S. |
| Year | 2021 |
| Published | Lecture Notes in Intelligent Transportation and Infrastructure, Part F1386 |
| DOI | http://dx.doi.org/10.1007/978-3-030-60922-1_4 |
| Abstract | The governance for smart cities will be more citizen-centric and government policies will be based on the demand of the citizen. Social network has the potential of elevating the governance process to new levels. It enables government for instantaneous transmission of information to the targeted citizen, processing large scale data available through social media and can enable to take decisions based on that data in judicial way to increase transparency and accountability. For smart governance, it is required that within a limited budget government can propagate information to the maximum people. Social media analysis provides knowledge to ensure maximize the influence. Similarly for misinformation/rumour, influence can be minimized and SNA helps to identify communities and locations affected by this information. Moreover it can be used to identify those influential users who are able to spread information. This knowledge will empower Government agencies to take necessary precautionary measures such as targeted campaigning against the rumour, identified the source of information, block the source node or delayed rumour propagation. In this chapter we will study an conceptual framework for generating a governance system which will be able to identify the citizens those have maximum influence in the social network, campaigning of government policies through them for the maximum propagation to the citizen with minimum budget, detect rumour, found the source of misinformation, block the source node of rumour, detection of community, generating anti-spreading model for already propagated rumour. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Author Keywords | Centrality measures; Community detection; Influence maximization; Influence minimization; Online social network; Smart city |
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