NDLI: Measuring influence in social networks using a network amplification score

Content Provider	IEEE Xplore Digital Library
Author	Hussain, A.R. Hameed, M.A. Sayeedunnissa, S.F.
Copyright Year	2012
Description	Author affiliation: Research & Development, Host Analytics Software Pvt. Ltd., Hyderabad 500 081, AP, India (Hussain, A.R.) \|\| Dept. of IT, M.J College of Eng. & Tech, Hyderabad 500 034, AP, India (Sayeedunnissa, S.F.) \|\| Dept. of C.S.E, U.C.E (A), Osmania University, Hyderabad 500 007, AP, India (Hameed, M.A.)
Abstract	Information shared on social networks can be attributed to various factors such as common interests, innovation in areas of job role, etc. The propagation of information or its reach in a social network is directly related to the influence of the author. Traditional influence scoring algorithms rely only on the number of direct connections of a user or on a ratio of their connections. As proved by recent research, a focus solely on the connection between users skews an understanding of how influence operates and follows. In this paper we differentiate between passive and active information. Information is classified as active if it promotes engagement through conversation and is thus exposed to more members, increasing the reach of information. Using a large amount of social network data we analyze the different components of information generated by a user, its propagation within the network and derive a metric for calculating the user's influence score. This influence score considers both the passive content and the active conversation aspect of the shared information. The score relies on the network metric degree of centrality. The measure of inbound and outbound information for 2 levels in the network, provide insight to the amplification of the reach of the shared information.
Starting Page	396
Ending Page	401
File Size	313780
Page Count	6
File Format	PDF
ISBN	9781467351140
e-ISBN	9781467351164
DOI	10.1109/HIS.2012.6421367
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-04
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems social network twitter Helium cloud computing Hybrid intelligent systems conversation influence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automatic sentiment analysis of Twitter messages

Genetic Algorithms for community detection in social networks

Measuring influence on Twitter

Sharing using social networks in a composable Web of Things

Scaling Archived Social Media Data Analysis Using a Hadoop Cloud

Research on the intelligent decision support system of the urban emergency command in the cloud computing environment

Understanding Cancer-Based Networks in Twitter Using Social Network Analysis

Moments in Time: A Forensic View of Twitter

Survey on scheduling in hybrid clouds

Measuring influence in social networks using a network amplification score - an analysis using cloud computing

Similar Documents

Automatic sentiment analysis of Twitter messages

Genetic Algorithms for community detection in social networks

Measuring influence on Twitter

Sharing using social networks in a composable Web of Things

Scaling Archived Social Media Data Analysis Using a Hadoop Cloud

Research on the intelligent decision support system of the urban emergency command in the cloud computing environment

Understanding Cancer-Based Networks in Twitter Using Social Network Analysis

Moments in Time: A Forensic View of Twitter

Survey on scheduling in hybrid clouds

Measuring influence in social networks using a network amplification score - an analysis using cloud computing