Distributed Rumor Blocking with Multiple Positive Cascades Article Swipe
Guangmo Tong
,
Weili Wu
,
Ding‐Zhu Du
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1711.07412
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1711.07412
Misinformation and rumor can spread rapidly and widely through online social networks and therefore rumor controlling has become a critical issue. It is often assumed that there is a single authority whose goal is to minimize the spread of rumor by generating a positive cascade. In this paper, we study a more realistic scenario when there are multiple positive cascades generated by different agents. For the multiple-cascade diffusion, we propose the P2P independent cascade (PIC) model for private social communications. The main part of this paper is an analysis of the rumor blocking effect (i.e. the number of the users activated by rumor) when the agents non-cooperatively generate the positive cascades. We show that the rumor blocking effect provided by the Nash equilibrium will not be arbitrarily worse even if the positive cascades are generated non-cooperatively. In addition, we give a discussion on how the cascade priority and activation order affect the rumor blocking problem. We experimentally examine the Nash equilibrium of the proposed games by simulations done on real social network structures.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1711.07412
- https://arxiv.org/pdf/1711.07412
- OA Status
- green
- Cited By
- 1
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2774221527
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2774221527Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.1711.07412Digital Object Identifier
- Title
-
Distributed Rumor Blocking with Multiple Positive CascadesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-11-20Full publication date if available
- Authors
-
Guangmo Tong, Weili Wu, Ding‐Zhu DuList of authors in order
- Landing page
-
https://arxiv.org/abs/1711.07412Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/1711.07412Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/1711.07412Direct OA link when available
- Concepts
-
Rumor, Blocking (statistics), Information cascade, Computer science, Cascade, Nash equilibrium, Misinformation, Computer security, Computer network, Mathematical economics, Economics, Mathematics, Statistics, Engineering, Political science, Chemical engineering, Public relationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2019: 1Per-year citation counts (last 5 years)
- References (count)
-
22Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2774221527 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.1711.07412 |
| ids.doi | https://doi.org/10.48550/arxiv.1711.07412 |
| ids.mag | 2774221527 |
| ids.openalex | https://openalex.org/W2774221527 |
| fwci | |
| type | preprint |
| title | Distributed Rumor Blocking with Multiple Positive Cascades |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12592 |
| topics[0].field.id | https://openalex.org/fields/31 |
| topics[0].field.display_name | Physics and Astronomy |
| topics[0].score | 0.9998000264167786 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3109 |
| topics[0].subfield.display_name | Statistical and Nonlinear Physics |
| topics[0].display_name | Opinion Dynamics and Social Influence |
| topics[1].id | https://openalex.org/T10064 |
| topics[1].field.id | https://openalex.org/fields/31 |
| topics[1].field.display_name | Physics and Astronomy |
| topics[1].score | 0.9998000264167786 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3109 |
| topics[1].subfield.display_name | Statistical and Nonlinear Physics |
| topics[1].display_name | Complex Network Analysis Techniques |
| topics[2].id | https://openalex.org/T11644 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.992900013923645 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1710 |
| topics[2].subfield.display_name | Information Systems |
| topics[2].display_name | Spam and Phishing Detection |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2780469804 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9842808246612549 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q878352 |
| concepts[0].display_name | Rumor |
| concepts[1].id | https://openalex.org/C144745244 |
| concepts[1].level | 2 |
| concepts[1].score | 0.8756967782974243 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q4927286 |
| concepts[1].display_name | Blocking (statistics) |
| concepts[2].id | https://openalex.org/C27286358 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6651091575622559 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q6031027 |
| concepts[2].display_name | Information cascade |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.6456565856933594 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C34146451 |
| concepts[4].level | 2 |
| concepts[4].score | 0.6420325636863708 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q5048094 |
| concepts[4].display_name | Cascade |
| concepts[5].id | https://openalex.org/C46814582 |
| concepts[5].level | 2 |
| concepts[5].score | 0.547217845916748 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q23389 |
| concepts[5].display_name | Nash equilibrium |
| concepts[6].id | https://openalex.org/C2776990098 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5173596739768982 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q13579947 |
| concepts[6].display_name | Misinformation |
| concepts[7].id | https://openalex.org/C38652104 |
| concepts[7].level | 1 |
| concepts[7].score | 0.33071961998939514 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[7].display_name | Computer security |
| concepts[8].id | https://openalex.org/C31258907 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3268641531467438 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1301371 |
| concepts[8].display_name | Computer network |
| concepts[9].id | https://openalex.org/C144237770 |
| concepts[9].level | 1 |
| concepts[9].score | 0.2990114390850067 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q747534 |
| concepts[9].display_name | Mathematical economics |
| concepts[10].id | https://openalex.org/C162324750 |
| concepts[10].level | 0 |
| concepts[10].score | 0.17874228954315186 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[10].display_name | Economics |
| concepts[11].id | https://openalex.org/C33923547 |
| concepts[11].level | 0 |
| concepts[11].score | 0.15807312726974487 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[11].display_name | Mathematics |
| concepts[12].id | https://openalex.org/C105795698 |
| concepts[12].level | 1 |
| concepts[12].score | 0.11879867315292358 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[12].display_name | Statistics |
| concepts[13].id | https://openalex.org/C127413603 |
| concepts[13].level | 0 |
| concepts[13].score | 0.10797518491744995 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[13].display_name | Engineering |
| concepts[14].id | https://openalex.org/C17744445 |
| concepts[14].level | 0 |
| concepts[14].score | 0.08781132102012634 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[14].display_name | Political science |
| concepts[15].id | https://openalex.org/C42360764 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q83588 |
| concepts[15].display_name | Chemical engineering |
| concepts[16].id | https://openalex.org/C39549134 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q133080 |
| concepts[16].display_name | Public relations |
| keywords[0].id | https://openalex.org/keywords/rumor |
| keywords[0].score | 0.9842808246612549 |
| keywords[0].display_name | Rumor |
| keywords[1].id | https://openalex.org/keywords/blocking |
| keywords[1].score | 0.8756967782974243 |
| keywords[1].display_name | Blocking (statistics) |
| keywords[2].id | https://openalex.org/keywords/information-cascade |
| keywords[2].score | 0.6651091575622559 |
| keywords[2].display_name | Information cascade |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.6456565856933594 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/cascade |
| keywords[4].score | 0.6420325636863708 |
| keywords[4].display_name | Cascade |
| keywords[5].id | https://openalex.org/keywords/nash-equilibrium |
| keywords[5].score | 0.547217845916748 |
| keywords[5].display_name | Nash equilibrium |
| keywords[6].id | https://openalex.org/keywords/misinformation |
| keywords[6].score | 0.5173596739768982 |
| keywords[6].display_name | Misinformation |
| keywords[7].id | https://openalex.org/keywords/computer-security |
| keywords[7].score | 0.33071961998939514 |
| keywords[7].display_name | Computer security |
| keywords[8].id | https://openalex.org/keywords/computer-network |
| keywords[8].score | 0.3268641531467438 |
| keywords[8].display_name | Computer network |
| keywords[9].id | https://openalex.org/keywords/mathematical-economics |
| keywords[9].score | 0.2990114390850067 |
| keywords[9].display_name | Mathematical economics |
| keywords[10].id | https://openalex.org/keywords/economics |
| keywords[10].score | 0.17874228954315186 |
| keywords[10].display_name | Economics |
| keywords[11].id | https://openalex.org/keywords/mathematics |
| keywords[11].score | 0.15807312726974487 |
| keywords[11].display_name | Mathematics |
| keywords[12].id | https://openalex.org/keywords/statistics |
| keywords[12].score | 0.11879867315292358 |
| keywords[12].display_name | Statistics |
| keywords[13].id | https://openalex.org/keywords/engineering |
| keywords[13].score | 0.10797518491744995 |
| keywords[13].display_name | Engineering |
| keywords[14].id | https://openalex.org/keywords/political-science |
| keywords[14].score | 0.08781132102012634 |
| keywords[14].display_name | Political science |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:1711.07412 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/1711.07412 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/1711.07412 |
| locations[1].id | doi:10.48550/arxiv.1711.07412 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.1711.07412 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5011783006 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3247-4019 |
| authorships[0].author.display_name | Guangmo Tong |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Guangmo Amo Tong |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5070037321 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-8747-6340 |
| authorships[1].author.display_name | Weili Wu |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Weili Wu |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5037860988 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-7345-2185 |
| authorships[2].author.display_name | Ding‐Zhu Du |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Ding-Zhu Du |
| authorships[2].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/1711.07412 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Distributed Rumor Blocking with Multiple Positive Cascades |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T12592 |
| primary_topic.field.id | https://openalex.org/fields/31 |
| primary_topic.field.display_name | Physics and Astronomy |
| primary_topic.score | 0.9998000264167786 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3109 |
| primary_topic.subfield.display_name | Statistical and Nonlinear Physics |
| primary_topic.display_name | Opinion Dynamics and Social Influence |
| related_works | https://openalex.org/W1992461926, https://openalex.org/W3005329725, https://openalex.org/W4391042838, https://openalex.org/W2963951227, https://openalex.org/W4312248975, https://openalex.org/W2774221527, https://openalex.org/W2765166787, https://openalex.org/W2289587777, https://openalex.org/W3118612524, https://openalex.org/W2496728230 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2019 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:1711.07412 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/1711.07412 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/1711.07412 |
| primary_location.id | pmh:oai:arXiv.org:1711.07412 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/1711.07412 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/1711.07412 |
| publication_date | 2017-11-20 |
| publication_year | 2017 |
| referenced_works | https://openalex.org/W2333655623, https://openalex.org/W2111772797, https://openalex.org/W2099154455, https://openalex.org/W1564025607, https://openalex.org/W2135086682, https://openalex.org/W2575567002, https://openalex.org/W2397755051, https://openalex.org/W2395439732, https://openalex.org/W2057026632, https://openalex.org/W2112515575, https://openalex.org/W1680189815, https://openalex.org/W1995698352, https://openalex.org/W2127492100, https://openalex.org/W1796766288, https://openalex.org/W2158908968, https://openalex.org/W2042123098, https://openalex.org/W1987316501, https://openalex.org/W2763592600, https://openalex.org/W2158204848, https://openalex.org/W2514082325, https://openalex.org/W2159981908, https://openalex.org/W2022266816 |
| referenced_works_count | 22 |
| abstract_inverted_index.a | 18, 28, 42, 50, 140 |
| abstract_inverted_index.In | 45, 136 |
| abstract_inverted_index.It | 21 |
| abstract_inverted_index.We | 111, 155 |
| abstract_inverted_index.an | 87 |
| abstract_inverted_index.be | 125 |
| abstract_inverted_index.by | 40, 61, 101, 119, 165 |
| abstract_inverted_index.if | 129 |
| abstract_inverted_index.is | 22, 27, 33, 86 |
| abstract_inverted_index.of | 38, 83, 89, 97, 161 |
| abstract_inverted_index.on | 142, 168 |
| abstract_inverted_index.to | 34 |
| abstract_inverted_index.we | 48, 68, 138 |
| abstract_inverted_index.For | 64 |
| abstract_inverted_index.P2P | 71 |
| abstract_inverted_index.The | 80 |
| abstract_inverted_index.and | 1, 6, 12, 147 |
| abstract_inverted_index.are | 56, 133 |
| abstract_inverted_index.can | 3 |
| abstract_inverted_index.for | 76 |
| abstract_inverted_index.has | 16 |
| abstract_inverted_index.how | 143 |
| abstract_inverted_index.not | 124 |
| abstract_inverted_index.the | 36, 65, 70, 90, 95, 98, 104, 108, 114, 120, 130, 144, 151, 158, 162 |
| abstract_inverted_index.Nash | 121, 159 |
| abstract_inverted_index.done | 167 |
| abstract_inverted_index.even | 128 |
| abstract_inverted_index.give | 139 |
| abstract_inverted_index.goal | 32 |
| abstract_inverted_index.main | 81 |
| abstract_inverted_index.more | 51 |
| abstract_inverted_index.part | 82 |
| abstract_inverted_index.real | 169 |
| abstract_inverted_index.show | 112 |
| abstract_inverted_index.that | 25, 113 |
| abstract_inverted_index.this | 46, 84 |
| abstract_inverted_index.when | 54, 103 |
| abstract_inverted_index.will | 123 |
| abstract_inverted_index.(PIC) | 74 |
| abstract_inverted_index.(i.e. | 94 |
| abstract_inverted_index.games | 164 |
| abstract_inverted_index.model | 75 |
| abstract_inverted_index.often | 23 |
| abstract_inverted_index.order | 149 |
| abstract_inverted_index.paper | 85 |
| abstract_inverted_index.rumor | 2, 14, 39, 91, 115, 152 |
| abstract_inverted_index.study | 49 |
| abstract_inverted_index.there | 26, 55 |
| abstract_inverted_index.users | 99 |
| abstract_inverted_index.whose | 31 |
| abstract_inverted_index.worse | 127 |
| abstract_inverted_index.affect | 150 |
| abstract_inverted_index.agents | 105 |
| abstract_inverted_index.become | 17 |
| abstract_inverted_index.effect | 93, 117 |
| abstract_inverted_index.issue. | 20 |
| abstract_inverted_index.number | 96 |
| abstract_inverted_index.online | 9 |
| abstract_inverted_index.paper, | 47 |
| abstract_inverted_index.rumor) | 102 |
| abstract_inverted_index.single | 29 |
| abstract_inverted_index.social | 10, 78, 170 |
| abstract_inverted_index.spread | 4, 37 |
| abstract_inverted_index.widely | 7 |
| abstract_inverted_index.agents. | 63 |
| abstract_inverted_index.assumed | 24 |
| abstract_inverted_index.cascade | 73, 145 |
| abstract_inverted_index.examine | 157 |
| abstract_inverted_index.network | 171 |
| abstract_inverted_index.private | 77 |
| abstract_inverted_index.propose | 69 |
| abstract_inverted_index.rapidly | 5 |
| abstract_inverted_index.through | 8 |
| abstract_inverted_index.analysis | 88 |
| abstract_inverted_index.blocking | 92, 116, 153 |
| abstract_inverted_index.cascade. | 44 |
| abstract_inverted_index.cascades | 59, 132 |
| abstract_inverted_index.critical | 19 |
| abstract_inverted_index.generate | 107 |
| abstract_inverted_index.minimize | 35 |
| abstract_inverted_index.multiple | 57 |
| abstract_inverted_index.networks | 11 |
| abstract_inverted_index.positive | 43, 58, 109, 131 |
| abstract_inverted_index.priority | 146 |
| abstract_inverted_index.problem. | 154 |
| abstract_inverted_index.proposed | 163 |
| abstract_inverted_index.provided | 118 |
| abstract_inverted_index.scenario | 53 |
| abstract_inverted_index.activated | 100 |
| abstract_inverted_index.addition, | 137 |
| abstract_inverted_index.authority | 30 |
| abstract_inverted_index.cascades. | 110 |
| abstract_inverted_index.different | 62 |
| abstract_inverted_index.generated | 60, 134 |
| abstract_inverted_index.realistic | 52 |
| abstract_inverted_index.therefore | 13 |
| abstract_inverted_index.activation | 148 |
| abstract_inverted_index.diffusion, | 67 |
| abstract_inverted_index.discussion | 141 |
| abstract_inverted_index.generating | 41 |
| abstract_inverted_index.arbitrarily | 126 |
| abstract_inverted_index.controlling | 15 |
| abstract_inverted_index.equilibrium | 122, 160 |
| abstract_inverted_index.independent | 72 |
| abstract_inverted_index.simulations | 166 |
| abstract_inverted_index.structures. | 172 |
| abstract_inverted_index.Misinformation | 0 |
| abstract_inverted_index.experimentally | 156 |
| abstract_inverted_index.communications. | 79 |
| abstract_inverted_index.multiple-cascade | 66 |
| abstract_inverted_index.non-cooperatively | 106 |
| abstract_inverted_index.non-cooperatively. | 135 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile |