scholarly journals Quasi-Closeness: A Toolkit for Social Network Applications Involving Indirect Connections

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Yugang Yin ◽  
Yahui Liu
Keyword(s):  
Social Network ◽  
Exponential Decay ◽  
Sample Space ◽  
Optimal Route ◽  
Dijkstra Algorithm ◽  
Attenuation Effect ◽  
Network Applications ◽  
Centrality Index ◽  
Geodesic Length ◽  
To Come

We come up with a punishment in the form of exponential decay for the number of vertices that a path passes through, which is able to reconcile the contradictory effects of geodesic length and edge weights. This core thought is the key to handling three typical applications; that is, given an information demander, he may be faced with the following problems: choosing optimal route to contact the single supplier, picking out the best supplier between multiple candidates, and calculating his point centrality, which involves indirect connections. Accordingly, three concrete solutions in one logic thread are proposed. Firstly, by adding a constraint to Dijkstra algorithm, we limit our candidates for optimal route to the sample space of geodesics. Secondly, we come up with a unified standard for the comparison between adjacent and nonadjacent vertices. Through punishment in the form of exponential decay, the attenuation effect caused by the number of vertices that a path passes through has been offset. Then the adjacent vertices and punished nonadjacent vertices can be compared directly. At last, an unprecedented centrality index, quasi-closeness, is ready to come out, with direct and indirect connections being summed up.

Vision Based Indoor Surveillance Patrol Robot Using Extended Dijkstra Algorithm in Path Plannin

2021 ◽  
Vol 3 (2) ◽  
pp. 21-28
Author(s):  
Kiat Teh Choon ◽  
Kit Wong Wai ◽  
Soe Min Thu
Keyword(s):  
Path Planning ◽  
Satellite System ◽  
Measurement Unit ◽  
Dijkstra Algorithm ◽  
Current Path ◽  
Global Positioning ◽  
Multiple Cycles ◽  
To Come ◽  
Global Navigation Satellite ◽  
Robot Path

Vision based patrol robot has been with great interest nowadays due to its consistency, cost effectiveness and no temperament issue. In recent times, Global positioning system (GPS) has been cooperated with Global Navigation Satellite System (GNSS) to come out with better accuracy quality in positioning, navigation, and timing (PNT) services to locate a device. However, such localization service is yet to reach any indoor facility. For an indoor surveillance vision based patrol robot, such limitation hinders its path planning capabilities that allows the patrol robot to seek for the optimum path to reach the appointed destination and return back to its home position. In this paper, a vision based indoor surveillance patrol robot using sensory manipulation technique is presented and an extended Dijkstra algorithm is proposed for the patrol robot path planning. The design of the patrol robot adopted visual type sensor, range sensors and Inertia Measurement Unit (IMU) system to impulsively update the map’s data in line with the patrol robot’s current path and utilize the path planning features to carry out obstacle avoidance and re-routing process in accordance to the obstacle’s type met by the patrol robot. The result conveyed by such approach certainly managed to complete multiple cycles of testing with positive result.

scholarly journals SOCIAL NETWORK DATA RETRIEVAL USING SEMANTIC TECHNOLOGY

2017 ◽  
Vol 10 (13) ◽  
pp. 31 ◽  
Author(s):  
Abhilash Srivastav ◽  
Alok Chauhan
Keyword(s):  
Social Network ◽  
Semantic Web ◽  
Web Application ◽  
Data Analytics ◽  
Data Retrieval ◽  
Network Data ◽  
Semantic Technology ◽  
Network Applications ◽  
Social Network Data ◽  
Data Mining Algorithms

Social network data analysis is an important problem due to proliferation of social network applications, amount of data these applications generate and potential of insight based on this big data. The objective of present work is to propose architecture for a semantic web application to facilitate meaningful social network data analytics as well as answering query about concerned ontology. Proposed technique links, on one hand, tools based on semantic technology provided by social network applications with data analytics tools and on the other hand extends this link to ontology authoring tools for further inference.   Results obtained from data analytics tool, results of query on generated ontology and benchmarking of the performance of data analytics tool are shown. It has been observed that a semantic web application utilizing above mentioned tools and technologies is more versatile and flexible and further improvements are possible by applying generic data mining algorithms to the above scenario.    

Characterising Functional Brain Connectivity as Social Network: the Transtopic Centrality Index

2020 ◽  
Vol 172 (2) ◽  
pp. 169-186
Author(s):  
Gloria Menegaz ◽  
Claudio Tomazzoli ◽  
Matteo Cristani ◽  
Ilaria Boscolo Galazzo ◽  
Silvia Francesca Storti
Keyword(s):  
Social Network ◽  
Brain Connectivity ◽  
Functional Brain ◽  
Centrality Index

A Festival-Wide Social Network Using 2D Barcodes, Mobile Phones and Situated Displays

2011 ◽  
Vol 3 (3) ◽  
pp. 14-30 ◽  
Author(s):  
Jakob Eg Larsen ◽  
Arkadiusz Stopczynski
Keyword(s):  
Social Network ◽  
Mobile Phones ◽  
Low Cost ◽  
The Novel ◽  
Client Application ◽  
Mobile Client ◽  
Music Festival ◽  
Network Applications ◽  
Network Interaction ◽  
Novel Approach

This paper reports on the authors’ experiences with an exploratory prototype festival-wide social network. Unique 2D barcodes were applied to wristbands and mobile phones to uniquely identify the festival participants at the CO2PENHAGEN music festival in Denmark. The authors describe experiences from initial use of a set of social network applications involving participant profiles, a microblog and images shared on situated displays, and competitions created for the festival. The pilot study included 73 participants, each creating a unique profile. The novel approach had potential to enable anyone at the festival to participate in the festival-wide social network, as participants did not need any special hardware or mobile client application to be involved. The 2D barcodes was found to be a feasible low-cost approach for unique participant identification and social network interaction. Implications for the design of future systems of this nature are discussed.

Distributed Client-Server Assignment for Online Social Network Applications

2014 ◽  
Vol 2 (4) ◽  
pp. 422-435 ◽  
Author(s):  
Thuan Duong-Ba ◽  
Thinh Nguyen ◽  
Bella Bose ◽  
Duc A. Tran
Keyword(s):  
Social Network ◽  
Online Social Network ◽  
Client Server ◽  
Network Applications
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