The DOI matches its Crossref record.
Social Network Analysis: Methods and Applications
Abstract
Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Social network data were collected using widely accepted sociometric techniques (Wasserman and Faust 1994).”
From Enterprise System Implementation and Employee Job Performance: Understanding the Role of Advice Networks1 (2014) · cites this paper as Wasserman and Faust 1994
In the citing paper
“These include degree centrality, 5 https://qgis.org/api/qgsalgorithmextractbylocation_8h_source.html closeness centrality, and betweenness centrality (Wasserman and Faust, 1994;Freeman, 1979.”
From POI VizNet: New QGIS Tool to construct Visibility Networks in Cities (2024) · cites this paper as Wasserman and Faust, 1994
In the citing paper
“Network analysis metrics come in two flavours, global and local (Wasserman and Faust 1994;Collar et al. 2015).”
From Modelling of pathways and movement networks in archaeology: an overview of current approaches (2019) · cites this paper as Wasserman and Faust 1994
In the citing paper
“Firms may gain such an understanding by using social network analysis (Wasserman and Faust 1994), value blueprints (Adner 2012), or agent-based modeling (Gilbert 2008).”
From Stakeholder marketing: theoretical foundations and required capabilities (2015) · cites this paper as Wasserman and Faust 1994
Citations
Cited by
Sorted by citations
Items 401–500 of 1,053
Network Structures within Policy Processes: Coalitions, Power, and Brokerage in Swiss Climate Policy
Ingold, K. M. (2011) · Policy Studies Journal · doi:10.1111/j.1541-0072.2011.00416.x · Cited by 388
Impact of social influence in e-commerce decision making
Kim, Y. A., & Srivastava, J. (2007) · International Conference on Electronic Commerce · doi:10.1145/1282100.1282157 · Cited by 399
‘Small worlds’ and the evolution of virulence: infection occurs locally and at a distance
Boots, M., & Sasaki, A. (1999) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1999.0869 · Cited by 354
Social Network Analysis and Mining for Business Applications
Bonchi, F., Castillo, C., Gionis, A., & Jaimes, A. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961194 · Cited by 374
Social Network Model of Construction
Chinowsky, P. S., Diekmann, J. E., & Galotti, V. (2008) · Journal of Construction Engineering and Management · doi:10.1061/(asce)0733-9364(2008)134:10(804 · Cited by 361
Patterned Interactions in Complex Systems: Implications for Exploration
Rivkin, J. W., & Siggelkow, N. (2007) · Management Science · doi:10.1287/mnsc.1060.0626 · Cited by 348
Coordination in Rapidly Evolving Disaster Response Systems
Comfort, L. K., Ko, K., & Zagorecki, A. T. (2004) · American Behavioral Scientist · doi:10.1177/0002764204268987 · Cited by 383
Past, Present and Future Research on Multiple Identities: Toward an Intrapersonal Network Approach
Ramarajan, L. (2014) · Academy of Management Annals · doi:10.5465/19416520.2014.912379 · Cited by 481
Towards more systematic Twitter analysis: metrics for tweeting activities
Bruns, A., & Stieglitz, S. (2013) · International Journal of Social Research Methodology · doi:10.1080/13645579.2012.756095 · Cited by 367
Paruchuri, S., Nerkar, A. A., & Hambrick, D. C. (2006) · Organization Science · doi:10.1287/orsc.1060.0207 · Cited by 344
Opinion Dynamics in Social Networks With Hostile Camps: Consensus vs. Polarization
Proskurnikov, A. V., Matveev, A. S., & Cao, M. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2015.2471655 · Cited by 387
“[17], [18], which are usually modeled by repulsive couplings or negative ties [19] among the agents.”
BackgroundThe scaling of human interactions with city size
Schläpfer, M., Bettencourt, L. M. A., Grauwin, S., Raschke, M., Claxton, R., Smoreda, Z., West, G. B., & Ratti, C. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0789 · Cited by 356
Community Detection and Mining in Social Media
Tang, L., & Liu, H. (2010) · Synthesis lectures on data mining and knowledge discovery · doi:10.2200/s00298ed1v01y201009dmk003 · Cited by 357
Between Hierarchies and Markets
Thompson, G. F. (2003) · doi:10.1093/acprof:oso/9780198775270.001.0001 · Cited by 355
Curvature of co-links uncovers hidden thematic layers in the World Wide Web
Eckmann, J., & Moses, E. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.032093399 · Cited by 348
Modeling social networks from sampled data
Handcock, M. S., & Gile, K. J. (2010) · The Annals of Applied Statistics · doi:10.1214/08-aoas221 · Cited by 349
Animal social networks: an introduction
Krause, J., Lusseau, D., & James, R. (2009) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-009-0747-0 · Cited by 361
Staab, S., Domingos, P., Mika, P., Golbeck, J., Ding, L., Finin, T., Joshi, A., Nowak, A. K., & Vallacher, R. R. (2005) · IEEE Intelligent Systems · doi:10.1109/mis.2005.16 · Cited by 348
Knowledge transfer in a tourism destination: the effects of a network structure
Baggio, R., & Cooper, C. (2010) · Service Industries Journal · doi:10.1080/02642060903580649 · Cited by 375
Comparing Policy Networks: Marine Protected Areas in California
Weible, C. M., & Sabatier, P. (2005) · Policy Studies Journal · doi:10.1111/j.1541-0072.2005.00101.x · Cited by 348
Migration and other Modes of Transnationalism: Towards Conceptual Cross-Fertilization
Vertovec, S. (2003) · International Migration Review · doi:10.1111/j.1747-7379.2003.tb00153.x · Cited by 347
Analysis of a large-scale weighted network of one-to-one human communication
Onnela, J.-P., Saramäki, J., Hyvönen, J., Szabó, G., de Menezes, M. A., Kaski, K., Barabási, A.-Ĺ., & Kertész, J. (2007) · New Journal of Physics · doi:10.1088/1367-2630/9/6/179 · Cited by 347
A glossary of terms for navigating the field of social network analysis
Hawe, P., Webster, C. M., & Shiell, A. (2004) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2003.014530 · Cited by 365
Wilhelm, M. M. (2011) · Journal of Operations Management · doi:10.1016/j.jom.2011.03.003 · Cited by 341
The Organizational Socialization Process: Review and Development of a Social Capital Model
Fang, R., Duffy, M. K., & Shaw, J. D. (2010) · Journal of Management · doi:10.1177/0149206310384630 · Cited by 345
Networks in Archaeology: Phenomena, Abstraction, Representation
Collar, A., Coward, F., Brughmans, T., & Mills, B. J. (2015) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-014-9235-6 · Cited by 183
Crafting analytical tools to study institutional change
Elinor Ostrom, B., & Basurto, X. (2010) · Journal of Institutional Economics · doi:10.1017/s1744137410000305 · Cited by 367
Global Village or Cyber-Balkans? Modeling and Measuring the Integration of Electronic Communities
Alstyne, M. V., & Brynjolfsson, E. (2005) · Management Science · doi:10.1287/mnsc.1050.0363 · Cited by 339
Bird, C., Nagappan, N., Murphy, T. B., Gall, H. C., & Dévanbu, P. (2011) · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · doi:10.1145/2025113.2025119 · Cited by 339
Tsourakakis, C. E., Kang, U., Miller, G. L., & Faloutsos, C. (2009) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1557019.1557111 · Cited by 326
Modularity-maximizing graph communities via mathematical programming
Agarwal, G., & Kempe, D. (2008) · The European Physical Journal B · doi:10.1140/epjb/e2008-00425-1 · Cited by 333
Status Differences in the Cognitive Activation of Social Networks
Smith, E. B., Menon, T., & Thompson, L. (2011) · Organization Science · doi:10.1287/orsc.1100.0643 · Cited by 343
Prying Data out of a Social Network
Bonneau, J., Anderson, J., & Danezis, G. (2009) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1109/asonam.2009.45 · Cited by 338
Mason, W. A., Conrey, F. R., & Smith, E. R. (2007) · Personality and Social Psychology Review · doi:10.1177/1088868307301032 · Cited by 335
Centrality Measures Based on Current Flow
Brandes, U., & Fleischer, D. (2005) · Lecture notes in computer science · doi:10.1007/978-3-540-31856-9_44 · Cited by 357
Building Collegial Information Networks: A Theory of Advice Network Generation
Nebus, J. F. (2006) · Academy of Management Review · doi:10.5465/amr.2006.21318921 · Cited by 341
A p* primer: logit models for social networks
Anderson, C. J., Wasserman, S. S., & Crouch, B. (1999) · Social Networks · doi:10.1016/s0378-8733(98)00012-4 · Cited by 327
Self-citationDynamic social networks and the implications for the spread of infectious disease
Read, J. M., Eames, K. T. D., & Edmunds, W. J. (2008) · Journal of The Royal Society Interface · doi:10.1098/rsif.2008.0013 · Cited by 328
Network Ecology and Adolescent Social Structure
McFarland, D. A., Moody, J. W., Diehl, D. K., Smith, J. A., & Thomas, R. J. (2014) · American Sociological Review · doi:10.1177/0003122414554001 · Cited by 334
“But what are desirable macro-structural arrangements for youth?”
BackgroundSocial Network Analysis for Program Implementation
Valente, T. W., Palinkas, L. A., Czaja, S., Chu, K.-H., & Brown, C. H. (2015) · PLOS ONE · doi:10.1371/journal.pone.0131712 · Cited by 332
“We review four measures used in this description but the interested reader can consult other resources to learn of the many other measures commonly used in social network research [21, 31 – 33].”
MethodClassifying Twitter Topic-Networks Using Social Network Analysis
Himelboim, I., Smith, M. A., Rainie, L., Shneiderman, B., & Espina, C. (2017) · Social Media + Society · doi:10.1177/2056305117691545 · Cited by 351
“A social network structure is created when connections (“links,” “ties,” or “edges”) are created among social actors (“nodes” or “vertices”), such as individuals and organizations (Wasserman & Faust, 1994).”
BackgroundEntrepreneurship and Social Capital
Casson, M., & Giusta, M. D. (2007) · International Small Business Journal Researching Entrepreneurship · doi:10.1177/0266242607076524 · Cited by 332
Measuring the value of electronic word of mouth and its impact in consumer communities
Dwyer, P. (2007) · Journal of Interactive Marketing · doi:10.1002/dir.20078 · Cited by 331
The Cultural Mosaic: A Metatheory for Understanding the Complexity of Culture.
Chao, G. T., & Moon, H. K. (2005) · Journal of Applied Psychology · doi:10.1037/0021-9010.90.6.1128 · Cited by 339
Street Centrality and the Location of Economic Activities in Barcelona
Porta, S., Latora, V., Wang, F., Rueda, S., Strano, E., Scellato, S., Cardillo, A., Belli, E., Càrdenas, F., Cormenzana, B., et al. (2011) · Urban Studies · doi:10.1177/0042098011422570 · Cited by 337
Pajek — Analysis and Visualization of Large Networks
Batagelj, V., & Mrvar, A. (2004) · Mathematics and visualization · doi:10.1007/978-3-642-18638-7_4 · Cited by 330
Smith, B. R., & Stevens, C. E. (2010) · Entrepreneurship and Regional Development · doi:10.1080/08985626.2010.488405 · Cited by 343
Current state and future trends
Dawson, S., Gašević, D., Siemens, G., & Joksimovíc, S. (2014) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2567574.2567585 · Cited by 345
Embeddedness and Price Formation in the Corporate Law Market
Uzzi, B., & Lancaster, R. (2004) · American Sociological Review · doi:10.1177/000312240406900301 · Cited by 325
Hip and trendy: Characterizing emerging trends on Twitter
Naaman, M., Becker, H., & Gravano, L. (2011) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21489 · Cited by 322
Theories and Major Hypotheses in Ethnobotany
Gaoue, O. G., Coe, M. A., Bond, M. O., Hart, G. M., Seyler, B. C., & McMillen, H. L. (2017) · Economic Botany · doi:10.1007/s12231-017-9389-8 · Cited by 327
“…theory is increasingly used in various disciplines to document the interplay between natural systems and human knowledge systems, including the distribution and dissemination/ preservation of ethnobotanical knowledge within societies (Crona and Bodin 2006; Hopkins 2011; Wasserman and Faust 1994).”
BackgroundSpatial statistics for urban analysis: A review of techniques with examples
Páez, A., & Scott, D. M. (2004) · GeoJournal · doi:10.1007/s10708-005-0877-5 · Cited by 327
Analysis of a large-scale weighted network of one-to-one human communication
Onnela, J. P., Barabási, A.-Ĺ., Ferreira de Menezes, M. A., Hyvönen, J., Kaski, K., Kertész, J., Saramäki, J., & Szabó, G. (2007) · Digital Repository Service (Northeastern University) · Cited by 324
Nicosia, V., Ginestra Bianconi, A., Latora, V., & Barthélemy, M. (2013) · Physical Review Letters · doi:10.1103/physrevlett.111.058701 · Cited by 324
Subgraph centrality and clustering in complex hyper-networks
Estrada, E., & Rodriguez-Velazquez, J. A. (2006) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2005.12.002 · Cited by 328
Eigenvector centrality of nodes in multiplex networks
Solá, L., Romance, M., Criado, R., Flores, J., del Amo, A. G., & Boccaletti, S. (2013) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4818544 · Cited by 327
Expertise identification using email communications
Campbell, C. S., Maglio, P. P., Cozzi, A., et al. (2003) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/956863.956965 · Cited by 324
The Performance of Policy Networks: The Relation between Network Structure and Network Performance
Sandström, A., & Carlsson, L. (2008) · Policy Studies Journal · doi:10.1111/j.1541-0072.2008.00281.x · Cited by 343
The Core and Cosmopolitans: A Relational View of Innovation in User Communities
Dahlander, L., & Frederiksen, L. (2011) · Organization Science · doi:10.1287/orsc.1110.0673 · Cited by 333
Structural Folds: Generative Disruption in Overlapping Groups
Vedres, B., & Stark, D. (2010) · American Journal of Sociology · doi:10.1086/649497 · Cited by 322
The Social Capital of French and American Managers
Burt, R. S., Hogarth, R. M., & Michaud, C. (2000) · Organization Science · doi:10.1287/orsc.11.2.123.12506 · Cited by 323
Detecting communities and their evolutions in dynamic social networks—a Bayesian approach
Yang, T., Chi, Y., Shenghuo Zhu, B., Gong, Y., & Jin, R. (2010) · Machine Learning · doi:10.1007/s10994-010-5214-7 · Cited by 331
Kleinberg, J. M., & Lawrence, S. (2001) · Science · doi:10.1126/science.1067014 · Cited by 322
Time varying networks and the weakness of strong ties
Karsai, M., Perra, N., & Vespignani, A. (2014) · Scientific Reports · doi:10.1038/srep04001 · Cited by 323
Terveen, L., & McDonald, D. W. (2005) · ACM Transactions on Computer-Human Interaction · doi:10.1145/1096737.1096740 · Cited by 315
The architecture of globalization: a network approach to international economic integration
Kali, R., & Reyes, J. A. (2007) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8400286 · Cited by 334
Lin, Z. “., Peng, M. W., Yang, H., & Sun, S. L. (2009) · Strategic Management Journal · doi:10.1002/smj.777 · Cited by 315
Competing Through Cooperation: The Organization of Standard Setting in Wireless Telecommunications
Leiponen, A. E. (2008) · Management Science · doi:10.1287/mnsc.1080.0912 · Cited by 307
Social Networks Matter. But How?
Passy, F. (2003) · Oxford University Press eBooks · doi:10.1093/0199251789.003.0002 · Cited by 323
Asymmetric ideological segregation in exposure to political news on Facebook
González-Bailón, S., Lazer, D., Barberá, P., Zhang, M., Allcott, H., Brown, T., Crespo-Tenorio, A., Freelon, D., Gentzkow, M., Guess, A. M., et al. (2023) · Science · doi:10.1126/science.ade7138 · Cited by 315
A Social Network Analysis of Positive and Negative Gossip in Organizational Life
Grosser, T. J., Lopez‐Kidwell, V., & Labianca, G. (2010) · Group & Organization Management · doi:10.1177/1059601109360391 · Cited by 356
Localization and centrality in networks
Martin, T., Zhang, X., & Newman, M. E. J. (2014) · Physical Review E · doi:10.1103/physreve.90.052808 · Cited by 310
Zhao, K., Kumar, A., Harrison, T. P., & Yen, J. (2011) · IEEE Systems Journal · doi:10.1109/jsyst.2010.2100192 · Cited by 316
Domingos, P., & Lowd, D. (2009) · Synthesis lectures on artificial intelligence and machine learning · doi:10.2200/s00206ed1v01y200907aim007 · Cited by 385
Of Pride and Prejudice: The Role of Sociology and Social Networks in Integrating the Health Sciences
Pescosolido, B. A. (2006) · Journal of Health and Social Behavior · doi:10.1177/002214650604700301 · Cited by 313
A Configural Theory of Team Processes: Accounting for the Structure of Taskwork and Teamwork
Crawford, E. R., & LePine, J. A. (2012) · Academy of Management Review · doi:10.5465/amr.2011.0206 · Cited by 332
Mining process models with non-free-choice constructs
Wen, L., van der Aalst, W. M. P., Wang, J., et al. (2007) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-007-0065-y · Cited by 313
Diesner, J., Frantz, T. L., & Carley, K. M. (2005) · Computational and Mathematical Organization Theory · doi:10.1007/s10588-005-5377-0 · Cited by 313
An Introduction to Social Network Data Analytics
Aggarwal, C. C. (2011) · Springer eBooks · doi:10.1007/978-1-4419-8462-3_1 · Cited by 312
Keystone species and food webs
Jordán, F. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0335 · Cited by 312
Visualization of Interfirm Relations in a Converging Mobile Ecosystem
Basole, R. C. (2009) · Journal of Information Technology · doi:10.1057/jit.2008.34 · Cited by 336
The Influence of Psychological Safety and Confidence in Knowledge on Employee Knowledge Sharing
Siemsen, E., Roth, A. V., Balasubramanian, S., & Anand, G. (2008) · Manufacturing & Service Operations Management · doi:10.1287/msom.1080.0233 · Cited by 338
Cross‐Talk in Movements: Reconceiving the Culture‐Network Link
Mische, A. (2003) · Oxford University Press eBooks · doi:10.1093/0199251789.003.0011 · Cited by 320
Moolenaar, N. M. (2012) · American Journal of Education · doi:10.1086/667715 · Cited by 309
Cardillo, A., Zanin, M., Gómez-Gardeñes, J., Romance, M., García del Amo, A. J., & Boccaletti, S. (2013) · The European Physical Journal Special Topics · doi:10.1140/epjst/e2013-01712-8 · Cited by 308
The Sexual Double Standard and Adolescent Peer Acceptance
Kreager, D. A., & Staff, J. (2009) · Social Psychology Quarterly · doi:10.1177/019027250907200205 · Cited by 333
What Can Graph Theory Tell Us About Word Learning and Lexical Retrieval?
Vitevitch, M. S. (2008) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2008/030 · Cited by 305
Arya, B., & Lin, Z. “. (2007) · Journal of Management · doi:10.1177/0149206307305561 · Cited by 308
Schiffer, E., & Hauck, J. (2010) · Field Methods · doi:10.1177/1525822x10374798 · Cited by 308
Reagans, R. E. (2010) · Organization Science · doi:10.1287/orsc.1100.0587 · Cited by 305
Clique Relaxations in Social Network Analysis: The Maximum k -Plex Problem
Balasundaram, B., Butenko, S. I., & Hicks, I. V. (2011) · Operations Research · doi:10.1287/opre.1100.0851 · Cited by 308
Small-World Networks: Evidence for a Crossover Picture
Barthélemy, M., & Amaral, L. A. N. (1999) · Physical Review Letters · doi:10.1103/physrevlett.82.3180 · Cited by 307
The Rise and Fall of Small Worlds: Exploring the Dynamics of Social Structure
Gulati, R., Sytch, M., & Tatarynowicz, A. (2010) · Organization Science · doi:10.1287/orsc.1100.0592 · Cited by 305
STRUCTURAL EMBEDDEDNESS AND SUPPLIER MANAGEMENT: A NETWORK PERSPECTIVE*
Choi, T. Y., & Kim, Y. (2008) · Journal of Supply Chain Management · doi:10.1111/j.1745-493x.2008.00069.x · Cited by 306
Dynamics of Networks if Everyone Strives for Structural Holes
Buskens, V., & van de Rijt, A. (2008) · American Journal of Sociology · doi:10.1086/590674 · Cited by 301
Tutorial on agent-based modeling and simulation
Macal, C. M., & NORTH, M. J. (2006) · Winter Simulation Conference · doi:10.1109/wsc.2005.1574234 · Cited by 483
Worlds, Fields and Networks: Becker, Bourdieu and the Structures of Social Relations
Bottero, W., & Crossley, N. (2011) · Cultural Sociology · doi:10.1177/1749975510389726 · Cited by 302
Dynamics of social balance on networks
Antal, T., Krapivsky, P. L., & Redner, S. (2005) · Physical Review E · doi:10.1103/physreve.72.036121 · Cited by 304
Co-authorship network analysis in health research: method and potential use
Fonseca, B. D. P. F. E., Sampaio, R. B., Fonseca, M. V. D. A., & Zicker, F. (2016) · Health Research Policy and Systems · doi:10.1186/s12961-016-0104-5 · Cited by 350
“Density is a metric to measure the connectivity within the network and is defined as the percentage of the number of existing links in relation to the maximum number of possible links in a given network [13].”
BackgroundFitness benefits of coalitionary aggression in male chimpanzees
Gilby, I. C., Brent, L. J. N., Wroblewski, E. E., Rudicell, R. S., Hahn, B. H., Goodall, J. R., & Pusey, A. E. (2012) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-012-1457-6 · Cited by 315
Metadata
- Authors
- Wasserman, S., & Faust, K.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- University of South Carolina (US)
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1994-11-25
- OpenAlex
- W950821216
- Cited by
- 17,557
- References
- 0
- Citations by year
- 2026: 619 · 2025: 780 · 2024: 747 · 2023: 763 · 2022: 783 · 2021: 931 · 2020: 907 · 2019: 898 · 2018: 955 · 2017: 891 · 2016: 877 · 2015: 872 · 2014: 974 · 2013: 947 · 2012: 856
- FWCI
- 10.62
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Sociology and Political Science › Social Capital and Networks
- Social Sciences › Sociology and Political Science › Social Power and Status Dynamics
- Keywords
- social network analysis, network methods, network data analysis, social networks, behavioral research, marketing, industrial engineering
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review