Influential nodes identification in complex networks: a comprehensive literature review
Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detec...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ait Rai, Khaoula [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2023 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© The Author(s) 2023 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Beni-Suef University Journal of Basic and Applied Sciences - Bani Sweif, 2013, 12(2023), 1 vom: 14. Feb. |
|---|---|
| Übergeordnetes Werk: |
volume:12 ; year:2023 ; number:1 ; day:14 ; month:02 |
| Links: |
|---|
| DOI / URN: |
10.1186/s43088-023-00357-w |
|---|
| Katalog-ID: |
SPR04933770X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | SPR04933770X | ||
| 003 | DE-627 | ||
| 005 | 20230510063105.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 230215s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1186/s43088-023-00357-w |2 doi | |
| 035 | |a (DE-627)SPR04933770X | ||
| 035 | |a (SPR)s43088-023-00357-w-e | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Ait Rai, Khaoula |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Influential nodes identification in complex networks: a comprehensive literature review |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a © The Author(s) 2023 | ||
| 520 | |a Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area. | ||
| 650 | 4 | |a Complex networks |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Network measurements |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Network structure |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Social influence influential nodes |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Network models |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Machkour, Mustapha |4 aut | |
| 700 | 1 | |a Antari, Jilali |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Beni-Suef University Journal of Basic and Applied Sciences |d Bani Sweif, 2013 |g 12(2023), 1 vom: 14. Feb. |w (DE-627)784988870 |w (DE-600)2768279-1 |x 2314-8543 |7 nnns |
| 773 | 1 | 8 | |g volume:12 |g year:2023 |g number:1 |g day:14 |g month:02 |
| 856 | 4 | 0 | |u https://dx.doi.org/10.1186/s43088-023-00357-w |z kostenfrei |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_SPRINGER | ||
| 912 | |a GBV_ILN_2027 | ||
| 951 | |a AR | ||
| 952 | |d 12 |j 2023 |e 1 |b 14 |c 02 | ||
| author_variant |
r k a rk rka m m mm j a ja |
|---|---|
| matchkey_str |
article:23148543:2023----::nletandsdniiainnopentokaopee |
| hierarchy_sort_str |
2023 |
| publishDate |
2023 |
| allfields |
10.1186/s43088-023-00357-w doi (DE-627)SPR04933770X (SPR)s43088-023-00357-w-e DE-627 ger DE-627 rakwb eng Ait Rai, Khaoula verfasserin aut Influential nodes identification in complex networks: a comprehensive literature review 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area. Complex networks (dpeaa)DE-He213 Network measurements (dpeaa)DE-He213 Network structure (dpeaa)DE-He213 Social influence influential nodes (dpeaa)DE-He213 Network models (dpeaa)DE-He213 Machkour, Mustapha aut Antari, Jilali aut Enthalten in Beni-Suef University Journal of Basic and Applied Sciences Bani Sweif, 2013 12(2023), 1 vom: 14. Feb. (DE-627)784988870 (DE-600)2768279-1 2314-8543 nnns volume:12 year:2023 number:1 day:14 month:02 https://dx.doi.org/10.1186/s43088-023-00357-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_2027 AR 12 2023 1 14 02 |
| spelling |
10.1186/s43088-023-00357-w doi (DE-627)SPR04933770X (SPR)s43088-023-00357-w-e DE-627 ger DE-627 rakwb eng Ait Rai, Khaoula verfasserin aut Influential nodes identification in complex networks: a comprehensive literature review 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area. Complex networks (dpeaa)DE-He213 Network measurements (dpeaa)DE-He213 Network structure (dpeaa)DE-He213 Social influence influential nodes (dpeaa)DE-He213 Network models (dpeaa)DE-He213 Machkour, Mustapha aut Antari, Jilali aut Enthalten in Beni-Suef University Journal of Basic and Applied Sciences Bani Sweif, 2013 12(2023), 1 vom: 14. Feb. (DE-627)784988870 (DE-600)2768279-1 2314-8543 nnns volume:12 year:2023 number:1 day:14 month:02 https://dx.doi.org/10.1186/s43088-023-00357-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_2027 AR 12 2023 1 14 02 |
| allfields_unstemmed |
10.1186/s43088-023-00357-w doi (DE-627)SPR04933770X (SPR)s43088-023-00357-w-e DE-627 ger DE-627 rakwb eng Ait Rai, Khaoula verfasserin aut Influential nodes identification in complex networks: a comprehensive literature review 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area. Complex networks (dpeaa)DE-He213 Network measurements (dpeaa)DE-He213 Network structure (dpeaa)DE-He213 Social influence influential nodes (dpeaa)DE-He213 Network models (dpeaa)DE-He213 Machkour, Mustapha aut Antari, Jilali aut Enthalten in Beni-Suef University Journal of Basic and Applied Sciences Bani Sweif, 2013 12(2023), 1 vom: 14. Feb. (DE-627)784988870 (DE-600)2768279-1 2314-8543 nnns volume:12 year:2023 number:1 day:14 month:02 https://dx.doi.org/10.1186/s43088-023-00357-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_2027 AR 12 2023 1 14 02 |
| allfieldsGer |
10.1186/s43088-023-00357-w doi (DE-627)SPR04933770X (SPR)s43088-023-00357-w-e DE-627 ger DE-627 rakwb eng Ait Rai, Khaoula verfasserin aut Influential nodes identification in complex networks: a comprehensive literature review 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area. Complex networks (dpeaa)DE-He213 Network measurements (dpeaa)DE-He213 Network structure (dpeaa)DE-He213 Social influence influential nodes (dpeaa)DE-He213 Network models (dpeaa)DE-He213 Machkour, Mustapha aut Antari, Jilali aut Enthalten in Beni-Suef University Journal of Basic and Applied Sciences Bani Sweif, 2013 12(2023), 1 vom: 14. Feb. (DE-627)784988870 (DE-600)2768279-1 2314-8543 nnns volume:12 year:2023 number:1 day:14 month:02 https://dx.doi.org/10.1186/s43088-023-00357-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_2027 AR 12 2023 1 14 02 |
| allfieldsSound |
10.1186/s43088-023-00357-w doi (DE-627)SPR04933770X (SPR)s43088-023-00357-w-e DE-627 ger DE-627 rakwb eng Ait Rai, Khaoula verfasserin aut Influential nodes identification in complex networks: a comprehensive literature review 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area. Complex networks (dpeaa)DE-He213 Network measurements (dpeaa)DE-He213 Network structure (dpeaa)DE-He213 Social influence influential nodes (dpeaa)DE-He213 Network models (dpeaa)DE-He213 Machkour, Mustapha aut Antari, Jilali aut Enthalten in Beni-Suef University Journal of Basic and Applied Sciences Bani Sweif, 2013 12(2023), 1 vom: 14. Feb. (DE-627)784988870 (DE-600)2768279-1 2314-8543 nnns volume:12 year:2023 number:1 day:14 month:02 https://dx.doi.org/10.1186/s43088-023-00357-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_2027 AR 12 2023 1 14 02 |
| language |
English |
| source |
Enthalten in Beni-Suef University Journal of Basic and Applied Sciences 12(2023), 1 vom: 14. Feb. volume:12 year:2023 number:1 day:14 month:02 |
| sourceStr |
Enthalten in Beni-Suef University Journal of Basic and Applied Sciences 12(2023), 1 vom: 14. Feb. volume:12 year:2023 number:1 day:14 month:02 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Complex networks Network measurements Network structure Social influence influential nodes Network models |
| isfreeaccess_bool |
true |
| container_title |
Beni-Suef University Journal of Basic and Applied Sciences |
| authorswithroles_txt_mv |
Ait Rai, Khaoula @@aut@@ Machkour, Mustapha @@aut@@ Antari, Jilali @@aut@@ |
| publishDateDaySort_date |
2023-02-14T00:00:00Z |
| hierarchy_top_id |
784988870 |
| id |
SPR04933770X |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR04933770X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230510063105.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230215s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s43088-023-00357-w</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR04933770X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s43088-023-00357-w-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ait Rai, Khaoula</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Influential nodes identification in complex networks: a comprehensive literature review</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2023</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complex networks</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Network measurements</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Network structure</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Social influence influential nodes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Network models</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Machkour, Mustapha</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Antari, Jilali</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Beni-Suef University Journal of Basic and Applied Sciences</subfield><subfield code="d">Bani Sweif, 2013</subfield><subfield code="g">12(2023), 1 vom: 14. Feb.</subfield><subfield code="w">(DE-627)784988870</subfield><subfield code="w">(DE-600)2768279-1</subfield><subfield code="x">2314-8543</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:12</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:1</subfield><subfield code="g">day:14</subfield><subfield code="g">month:02</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/s43088-023-00357-w</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">12</subfield><subfield code="j">2023</subfield><subfield code="e">1</subfield><subfield code="b">14</subfield><subfield code="c">02</subfield></datafield></record></collection>
|
| author |
Ait Rai, Khaoula |
| spellingShingle |
Ait Rai, Khaoula misc Complex networks misc Network measurements misc Network structure misc Social influence influential nodes misc Network models Influential nodes identification in complex networks: a comprehensive literature review |
| authorStr |
Ait Rai, Khaoula |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)784988870 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
springer |
| remote_str |
true |
| illustrated |
Not Illustrated |
| issn |
2314-8543 |
| topic_title |
Influential nodes identification in complex networks: a comprehensive literature review Complex networks (dpeaa)DE-He213 Network measurements (dpeaa)DE-He213 Network structure (dpeaa)DE-He213 Social influence influential nodes (dpeaa)DE-He213 Network models (dpeaa)DE-He213 |
| topic |
misc Complex networks misc Network measurements misc Network structure misc Social influence influential nodes misc Network models |
| topic_unstemmed |
misc Complex networks misc Network measurements misc Network structure misc Social influence influential nodes misc Network models |
| topic_browse |
misc Complex networks misc Network measurements misc Network structure misc Social influence influential nodes misc Network models |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
Beni-Suef University Journal of Basic and Applied Sciences |
| hierarchy_parent_id |
784988870 |
| hierarchy_top_title |
Beni-Suef University Journal of Basic and Applied Sciences |
| isfreeaccess_txt |
true |
| familylinks_str_mv |
(DE-627)784988870 (DE-600)2768279-1 |
| title |
Influential nodes identification in complex networks: a comprehensive literature review |
| ctrlnum |
(DE-627)SPR04933770X (SPR)s43088-023-00357-w-e |
| title_full |
Influential nodes identification in complex networks: a comprehensive literature review |
| author_sort |
Ait Rai, Khaoula |
| journal |
Beni-Suef University Journal of Basic and Applied Sciences |
| journalStr |
Beni-Suef University Journal of Basic and Applied Sciences |
| lang_code |
eng |
| isOA_bool |
true |
| recordtype |
marc |
| publishDateSort |
2023 |
| contenttype_str_mv |
txt |
| author_browse |
Ait Rai, Khaoula Machkour, Mustapha Antari, Jilali |
| container_volume |
12 |
| format_se |
Elektronische Aufsätze |
| author-letter |
Ait Rai, Khaoula |
| doi_str_mv |
10.1186/s43088-023-00357-w |
| title_sort |
influential nodes identification in complex networks: a comprehensive literature review |
| title_auth |
Influential nodes identification in complex networks: a comprehensive literature review |
| abstract |
Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area. © The Author(s) 2023 |
| abstractGer |
Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area. © The Author(s) 2023 |
| abstract_unstemmed |
Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area. © The Author(s) 2023 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_2027 |
| container_issue |
1 |
| title_short |
Influential nodes identification in complex networks: a comprehensive literature review |
| url |
https://dx.doi.org/10.1186/s43088-023-00357-w |
| remote_bool |
true |
| author2 |
Machkour, Mustapha Antari, Jilali |
| author2Str |
Machkour, Mustapha Antari, Jilali |
| ppnlink |
784988870 |
| mediatype_str_mv |
c |
| isOA_txt |
true |
| hochschulschrift_bool |
false |
| doi_str |
10.1186/s43088-023-00357-w |
| up_date |
2024-07-04T00:23:50.533Z |
| _version_ |
1803605907114819584 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR04933770X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230510063105.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230215s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s43088-023-00357-w</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR04933770X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s43088-023-00357-w-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ait Rai, Khaoula</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Influential nodes identification in complex networks: a comprehensive literature review</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2023</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complex networks</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Network measurements</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Network structure</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Social influence influential nodes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Network models</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Machkour, Mustapha</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Antari, Jilali</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Beni-Suef University Journal of Basic and Applied Sciences</subfield><subfield code="d">Bani Sweif, 2013</subfield><subfield code="g">12(2023), 1 vom: 14. Feb.</subfield><subfield code="w">(DE-627)784988870</subfield><subfield code="w">(DE-600)2768279-1</subfield><subfield code="x">2314-8543</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:12</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:1</subfield><subfield code="g">day:14</subfield><subfield code="g">month:02</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/s43088-023-00357-w</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">12</subfield><subfield code="j">2023</subfield><subfield code="e">1</subfield><subfield code="b">14</subfield><subfield code="c">02</subfield></datafield></record></collection>
|
| score |
7.397253 |