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Routing and Scheduling of Social Influence Diffusion in Online Social Networks
Owing to the rising popularity of online social networking services (OSNs), studies on social influence and its diffusion have received significant attention from the research community. Prior research has mostly studied the impact of single-hop influence diffusion and multi-hop influence broadcast...
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creator | Hung, Hui-Ju Yang, De-Nian Lee, Wang-Chien |
description | Owing to the rising popularity of online social networking services (OSNs), studies on social influence and its diffusion have received significant attention from the research community. Prior research has mostly studied the impact of single-hop influence diffusion and multi-hop influence broadcast in online social networks. Very little research explores the idea of guiding (routing) multi-hop social influence towards a specific target. In this paper, we motivate the needs of timely routing social influence to formulate a new optimization problem, namely, Routing And Scheduling of Target-Oriented Social Influence Diffusion (RAS-TOSID). Accordingly, we propose the Efficient Routing And Scheduling with Social and Temporal decOmposition (ERASSTO) algorithm, which finds the optimal solution to RAS-TOSID in polynomial time. We carry out a user study by implementing ERASSTO in Facebook and conduct a comprehensive evaluation on ERASSTO and alternative approaches by simulation. The result shows that ERASSTO significantly outperforms other algorithms regarding solution quality and computational efficiency. |
doi_str_mv | 10.1109/ICDCS.2016.45 |
format | conference_proceeding |
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Prior research has mostly studied the impact of single-hop influence diffusion and multi-hop influence broadcast in online social networks. Very little research explores the idea of guiding (routing) multi-hop social influence towards a specific target. In this paper, we motivate the needs of timely routing social influence to formulate a new optimization problem, namely, Routing And Scheduling of Target-Oriented Social Influence Diffusion (RAS-TOSID). Accordingly, we propose the Efficient Routing And Scheduling with Social and Temporal decOmposition (ERASSTO) algorithm, which finds the optimal solution to RAS-TOSID in polynomial time. We carry out a user study by implementing ERASSTO in Facebook and conduct a comprehensive evaluation on ERASSTO and alternative approaches by simulation. The result shows that ERASSTO significantly outperforms other algorithms regarding solution quality and computational efficiency.</description><subject>Algorithms</subject><subject>Computer networks</subject><subject>Diffusion</subject><subject>distributed computation</subject><subject>Facebook</subject><subject>Integrated circuit modeling</subject><subject>Mathematical models</subject><subject>Optimization</subject><subject>Routing</subject><subject>Routing (telecommunications)</subject><subject>Scheduling</subject><subject>social influence</subject><subject>Social networks</subject><subject>Time factors</subject><issn>1063-6927</issn><issn>2575-8411</issn><isbn>9781509014835</isbn><isbn>1509014837</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2016</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo10DtPwzAUBWCDQKKUjkwsHllS7PgVjyjlUalqJQpz5MTXYEjtEidC_HuCCtPVkb5zhovQJSVzSom-WZaLcjvPCZVzLo7QTKuCCqIJ5QUTx2iSCyWyglN6giaUSJZJnaszdJ7SOyFEFJJN0PopDr0Pr9gEi7fNG9ih_Y3R4W1svGnxMrh2gNAAXnjnhuRjwD7gTRgd_KM19F-x-0gX6NSZNsHs707Ry_3dc_mYrTYPy_J2lfmcFH3GrWI1bZwytdWFpsTVwJWrFahacCnywvHaORBS5coqzrWVeiwQ4MCMs2yKrg-7-y5-DpD6audTA21rAsQhVXT8gJRaED7SqwP1AFDtO78z3XelBJOC5-wHvwtd8w</recordid><startdate>20160601</startdate><enddate>20160601</enddate><creator>Hung, Hui-Ju</creator><creator>Yang, De-Nian</creator><creator>Lee, Wang-Chien</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20160601</creationdate><title>Routing and Scheduling of Social Influence Diffusion in Online Social Networks</title><author>Hung, Hui-Ju ; Yang, De-Nian ; Lee, Wang-Chien</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i208t-4d73b1cf7abd98910fbe47fb7e7b546528f4bffe56727d7449d69b1c0e4e3afd3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Algorithms</topic><topic>Computer networks</topic><topic>Diffusion</topic><topic>distributed computation</topic><topic>Facebook</topic><topic>Integrated circuit modeling</topic><topic>Mathematical models</topic><topic>Optimization</topic><topic>Routing</topic><topic>Routing (telecommunications)</topic><topic>Scheduling</topic><topic>social influence</topic><topic>Social networks</topic><topic>Time factors</topic><toplevel>online_resources</toplevel><creatorcontrib>Hung, Hui-Ju</creatorcontrib><creatorcontrib>Yang, De-Nian</creatorcontrib><creatorcontrib>Lee, Wang-Chien</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hung, Hui-Ju</au><au>Yang, De-Nian</au><au>Lee, Wang-Chien</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Routing and Scheduling of Social Influence Diffusion in Online Social Networks</atitle><btitle>2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS)</btitle><stitle>ICDSC</stitle><date>2016-06-01</date><risdate>2016</risdate><spage>437</spage><epage>446</epage><pages>437-446</pages><issn>1063-6927</issn><eissn>2575-8411</eissn><eisbn>9781509014835</eisbn><eisbn>1509014837</eisbn><coden>IEEPAD</coden><abstract>Owing to the rising popularity of online social networking services (OSNs), studies on social influence and its diffusion have received significant attention from the research community. Prior research has mostly studied the impact of single-hop influence diffusion and multi-hop influence broadcast in online social networks. Very little research explores the idea of guiding (routing) multi-hop social influence towards a specific target. In this paper, we motivate the needs of timely routing social influence to formulate a new optimization problem, namely, Routing And Scheduling of Target-Oriented Social Influence Diffusion (RAS-TOSID). Accordingly, we propose the Efficient Routing And Scheduling with Social and Temporal decOmposition (ERASSTO) algorithm, which finds the optimal solution to RAS-TOSID in polynomial time. We carry out a user study by implementing ERASSTO in Facebook and conduct a comprehensive evaluation on ERASSTO and alternative approaches by simulation. 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subjects | Algorithms Computer networks Diffusion distributed computation Integrated circuit modeling Mathematical models Optimization Routing Routing (telecommunications) Scheduling social influence Social networks Time factors |
title | Routing and Scheduling of Social Influence Diffusion in Online Social Networks |
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