UACD: A Local Approach for Identifying the Most Influential Spreaders in Twitter in a Distributed Environment

T. M.Tariq Adnan; Md Saiful Islam; Tarikul Islam Papon; Shourav Nath; Muhammad Abdullah Adnan

doi:10.1007/s13278-022-00862-3

UACD: A Local Approach for Identifying the Most Influential Spreaders in Twitter in a Distributed Environment

T. M.Tariq Adnan
, Md Saiful Islam
, Tarikul Islam Papon
, Shourav Nath
, Muhammad Abdullah Adnan

Bangladesh University of Engineering and Technology
University of Rochester
Boston University

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	37
Journal	Social Network Analysis and Mining
Volume	12
Issue number	1
DOIs	https://doi.org/10.1007/s13278-022-00862-3
State	Published - Dec 2022
Externally published	Yes

ASJC Scopus Subject Areas

Information Systems
Communication
Media Technology
Human-Computer Interaction
Computer Science Applications

Keywords

Centrality measures
Distributed implementation
Influential spreader
k-core decomposition

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10.1007/s13278-022-00862-3

Cite this

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title = "UACD: A Local Approach for Identifying the Most Influential Spreaders in Twitter in a Distributed Environment",

keywords = "Centrality measures, Distributed implementation, Influential spreader, k-core decomposition",

author = "Adnan, \{T. M.Tariq\} and Islam, \{Md Saiful\} and Papon, \{Tarikul Islam\} and Shourav Nath and Adnan, \{Muhammad Abdullah\}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.",

year = "2022",

month = dec,

doi = "10.1007/s13278-022-00862-3",

language = "English",

volume = "12",

journal = "Social Network Analysis and Mining",

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T2 - A Local Approach for Identifying the Most Influential Spreaders in Twitter in a Distributed Environment

AU - Adnan, T. M.Tariq

AU - Islam, Md Saiful

AU - Papon, Tarikul Islam

AU - Nath, Shourav

AU - Adnan, Muhammad Abdullah

PY - 2022/12

Y1 - 2022/12

KW - Centrality measures

KW - Distributed implementation

KW - Influential spreader

KW - k-core decomposition

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UR - https://www.scopus.com/pages/publications/85125346859#tab=citedBy

U2 - 10.1007/s13278-022-00862-3

DO - 10.1007/s13278-022-00862-3

M3 - Article

AN - SCOPUS:85125346859

SN - 1869-5450

VL - 12

JO - Social Network Analysis and Mining

JF - Social Network Analysis and Mining

IS - 1

M1 - 37

ER -

UACD: A Local Approach for Identifying the Most Influential Spreaders in Twitter in a Distributed Environment

ASJC Scopus Subject Areas

Keywords

Access to Document

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