Measurement and analysis of online social networks

Collective dynamics of ‘small-world’ networks

Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060

The Strength of Weak Ties

Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491

Emergence of Scaling in Random Networks

Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135

Social Network Analysis: Methods and Applications

Wasserman, S. S., & Faust, K. (1994) · Cited by 18,005

Social Network Analysis: Methods and Applications

Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557

Community structure in social and biological networks

Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502

Untitled work

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Authoritative sources in a hyperlinked environment

Kleinberg, J. M. (1999) · Journal of the ACM · doi:10.1145/324133.324140 · Cited by 9,032

Power-law distributions in empirical data

Clauset, A. J., Shalizi, C. R., & Newman, M. E. J. (2018) · Figshare · doi:10.1184/r1/6586835.v1 · Cited by 6,710

The small-world problem

Milgram, S. (1967) · PsycEXTRA Dataset · doi:10.1037/e400002009-005 · Cited by 5,528

A Data-Driven Network Analysis Approach to Predicting Customer Choice Sets for Choice Modeling in Engineering Design

Wang, M., & Chen, W. (2015) · Journal of Mechanical Design · doi:10.1115/1.4030160 · Cited by 41

Delayed information cascades in Flickr: Measurement, analysis, and modeling

Cha, M., Benevenuto, F., Ahn, Y., & Gummadi, K. P. (2011) · Computer Networks · doi:10.1016/j.comnet.2011.10.020 · Cited by 41

Iolaus

Kakhki, A. M., Kliman-Silver, C., & Mislove, A. E. (2013) · International World Wide Web Conference (WWW) · doi:10.1145/2488388.2488468 · Cited by 42

Graph Analytics for Real-Time Scoring of Cross-Channel Transactional Fraud

Molloy, I., Chari, S. T., Finkler, U., Wiggerman, M., Jonker, C., Habeck, T., Park, Y. H., Jordens, F., & van Schaik, R. (2017) · Lecture notes in computer science · doi:10.1007/978-3-662-54970-4_2 · Cited by 41

GraphSE²

Lai, S., Yuan, X., Sun, S.-F., Liu, J. K., Liu, Y., & Liu, D. (2019) · ACM Asia Conference on Computer and Communications Security (ASIA CCS) · doi:10.1145/3321705.3329803 · Cited by 40

Leveraging sociability for trust building on social commerce sites

Fang, Y., & Li, C. (2019) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2019.100907 · Cited by 43

On Structural Features, User Social Behavior, and Kinship Discrimination in Communication Social Networks

Zhang, S., Liang, X., Wei, Y.-D., & Zhang, X. (2020) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2019.2962231 · Cited by 41

Valuation of online social networks taking into account users’ interconnectedness

Gneiser, M., Heidemann, J., Klier, M., Landherr, A., & Probst, F. (2010) · Information Systems and e-Business Management · doi:10.1007/s10257-010-0153-1 · Cited by 45

Connection Discovery Using Big Data of User-Shared Images in Social Media

Cheung, M., She, J. P. M., & Jie, Z. (2015) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2015.2460192 · Cited by 40

UsageQoS

Huang, X. (2013) · ACM Transactions on the Web · doi:10.1145/2532635 · Cited by 40

Online social networks—Paradise of computer viruses

Fan, W., & Yeung, K. H. (2010) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2010.09.034 · Cited by 40

Far from the eyes, close on the web

Kaltenbrunner, A., Scellato, S., Volkovich, Y., Laniado, D., Currie, D., Jutemar, E. J., & Cecilia Mascolo, C. (2012) · doi:10.1145/2342549.2342555 · Cited by 40

Measuring user activity on an online location-based social network

Scellato, S., & Cecilia Mascolo, C. (2011) · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · doi:10.1109/infcomw.2011.5928943 · Cited by 40

A Heuristic Algorithm for Trust-Oriented Service Provider Selection in Complex Social Networks

Liu, G., Wang, Y., Orgun, M. A., & Lim, E. (2010) · IEEE International Conference on Services Computing · doi:10.1109/scc.2010.47 · Cited by 40

Fast centrality approximation in modular networks

Chan, S. Y., Leung, I. X. Y., & Lió, P. (2009) · doi:10.1145/1651274.1651282 · Cited by 39

Towards understanding cyberbullying behavior in a semianonymous social network

Hosseinmardi, H., Han, R. Y., Lv, Q., Mishra, S., & Ghasemian, A. (2014) · Cited by 40

The anatomy of a population-scale social network

Bokányi, E., Heemskerk, E. M., & Takes, F. W. (2023) · Scientific Reports · doi:10.1038/s41598-023-36324-9 · Cited by 39

Insiders Trapped in the Mirror Reveal Themselves in Social Media

Kandias, M., Galbogini, K., Mitrou, L., & Gritzalis, D. A. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38631-2_17 · Cited by 39

SocialVPN: Enabling wide-area collaboration with integrated social and overlay networks

Juste, P. S., Wolinsky, D. I., Boykin, P. O., Covington, M. J., & Figueiredo, R. (2010) · Computer Networks · doi:10.1016/j.comnet.2009.11.019 · Cited by 39

Large-scale energy-efficient graph traversal: a path to efficient data-intensive supercomputing

Satish, N., Kim, C., Chhugani, J., & Dubey, P. K. (2012) · IEEE International Conference on High Performance Computing, Data, and Analytics · doi:10.5555/2388996.2389015 · Cited by 39

Affiliation recommendation using auxiliary networks

Vasuki, V., Natarajan, N., Lu, Z., & Dhillon, I. S. (2010) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/1864708.1864731 · Cited by 39

Innocent by association

Xie, Y., Yu, F., Ke, Q., Abadi, M., Gillum, E., Vitaldevaria, K., Walter, J., Huang, J., & Mao, Z. M. (2012) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2382196.2382235 · Cited by 40

Techniques for Graph Analytics on Big Data

Nisar, M. U., Fard, A. M. Z., & Miller, J. A. (2013) · IEEE International Congress on Big Data (BigData Congress) · doi:10.1109/bigdata.congress.2013.78 · Cited by 39

You can SPIT, but you can't hide: Spammer identification in telephony networks

Bokharaei, H. K., Sahraei, A., Ganjali, Y., Keralapura, R., & Nucci, A. (2011) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2011.5935195 · Cited by 39

Neighbor Similarity Trust against Sybil Attack in P2P E-Commerce

Wang, G., Musau, F., Guo, S., & Abdullahi, M. B. (2014) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2014.2312932 · Cited by 38

Community detection in bipartite networks with stochastic block models

Yen, T.-C., & Larremore, D. B. (2020) · Physical review. E · doi:10.1103/physreve.102.032309 · Cited by 43

The Length of Bridge Ties: Structural and Geographic Properties of Online Social Interactions

Volkovich, Y., Scellato, S., Laniado, D., Cecilia Mascolo, C., & Kaltenbrunner, A. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v6i1.14271 · Cited by 39

Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+Preprint

Gong, N. Z., Xu, W., Huang, L., Mittal, P., Stefanov, E., Sekar, V., & Song, D. X. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1209.0835 · Cited by 45

Are All Social Networks Structurally Similar?

Hashmi, A. H., ZAIDI, F. A., Sallaberry, A., & Mehmood, T. (2012) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1109/asonam.2012.59 · Cited by 38

Probabilistic graphical models in modern social network analysis

Farasat, A., Nikolaev, A., Srihari, S. N., & Blair, R. H. (2015) · Social Network Analysis and Mining · doi:10.1007/s13278-015-0289-6 · Cited by 38

Composition and Structure of a Large Online Social Network in the Netherlands

Corten, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034760 · Cited by 38

What do cMOOC participants talk about in social media?

Joksimovíc, S., Kovanović, V., Jovanović, J., Zouaq, A., Gašević, D., & Hatala, M. (2015) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2723576.2723609 · Cited by 39

Generating scale-free networks with adjustable clustering coefficient via random walks

Herrera, C., & Zufiria, P. J. (2011) · IEEE Network Science Workshop (NSW) · doi:10.1109/nsw.2011.6004642 · Cited by 38

StarClique

Puttaswamy, K. P. N., Sala, A., & Zhao, B. Y. (2009) · ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) · doi:10.1145/1658939.1658958 · Cited by 38

Top- Durable Graph Pattern Queries on Temporal Graphs

Semertzidis, K., & Pitoura, E. (2018) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2018.2823754 · Cited by 38

Detection of statistically significant network changes in complex biological networks

Mall, R., Cerulo, L., Bensmail, H., Iavarone, A., & Ceccarelli, M. (2017) · BMC Systems Biology · doi:10.1186/s12918-017-0412-6 · Cited by 38

Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs

Bai, Y., Li, C., Lin, Z., Wu, Y., Miao, Y., Liu, Y., & Xu, Y. (2021) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2021.3065737 · Cited by 39

VlogSense

Biel, J.-I., & Gática-Pérez, D. (2011) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/2037676.2037690 · Cited by 38

Fast Robustness Estimation in Large Social Graphs: Communities and Anomaly Detection

Malliaros, F. D., Megalooikonomou, V., & Faloutsos, C. (2012) · SIAM International Conference on Data Mining · doi:10.1137/1.9781611972825.81 · Cited by 38

Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User BehaviorPreprint

Althoff, T., Jindal, P., & Leskovec, J. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1612.03053 · Cited by 42

Influence maximization on temporal networks: a review

Yanchenko, E., Murata, T., & Holme, P. (2024) · Applied Network Science · doi:10.1007/s41109-024-00625-3 · Cited by 37

Feature set identification for detecting suspicious URLs using Bayesian classification in social networks

Chen, C.-M., Guan, D. J., & Su, Q.-K. (2014) · Information Sciences · doi:10.1016/j.ins.2014.07.030 · Cited by 37

Intelligent Social Media Indexing and Sharing Using an Adaptive Indexing Search Engine

Leung, C. H. C., Chan, A. W. S., Milani, A., Liu, J., & Li, Y. (2012) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2168752.2168761 · Cited by 36

Groupthink and Peer Pressure: Social Influence in Online Social Network Groups

Hui, P., & Buchegger, S. (2009) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1109/asonam.2009.17 · Cited by 37

The Representativeness of Automated Web Crawls as a Surrogate for Human Browsing

Zeber, D., Bird, S., Oliveira, C., Rudametkin, W., Segall, I., Wollsén, F., & Lopatka, M. (2020) · International World Wide Web Conference (WWW) · doi:10.1145/3366423.3380104 · Cited by 37

Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams

Shin, K., Oh, S., Kim, J., Hooi, B., & Faloutsos, C. (2020) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3375392 · Cited by 37

TREND PREDICTION IN TEMPORAL BIPARTITE NETWORKS: THE CASE OF MOVIELENS, NETFLIX, AND DIGG

Zeng, A., Gualdi, S., Medo, M., & Zhang, Y. (2013) · RePEc: Research Papers in Economics · Cited by 37

Fast Connected Components Computation in Large Graphs by Vertex Pruning

Lulli, A., Carlini, E., Dazzi, P., Lucchese, C., & Ricci, L. (2016) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2016.2591038 · Cited by 37

Successful customer knowledge management implementation through social media capabilities

Kargaran, S., Pour, M. J., & Moeini, H. (2017) · VINE Journal of Information and Knowledge Management Systems · doi:10.1108/vjikms-11-2016-0066 · Cited by 37

Understanding User Behavior in Sina Weibo Online Social Network: A Community Approach

Lei, K., Liu, Y., Zhong, S., Liu, Y., Xu, K., Shen, Y., & Yang, M. (2018) · IEEE Access · doi:10.1109/access.2018.2808158 · Cited by 37

Online Social Network Analysis: A Survey of Research Applications in Computer SciencePreprint

Kurka, D. B., Godoy, A., & Zuben, F. J. V. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1504.05655 · Cited by 51

TimeReach: Historical Reachability Queries on Evolving Graphs

Semertzidis, K., Pitoura, E., & Lillis, K. (2015) · Movebank · doi:10.5441/002/edbt.2015.12 · Cited by 37

Monitoring YouTube QoE: Is Your Mobile Network Delivering the Right Experience to your Customers?

Casas, P., Schatz, R., & Hoßfeld, T. (2013) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc.2013.6554804 · Cited by 36

Probabilistic Community and Role Model for Social Networks

Han, Y., & Tang, J. (2015) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2783258.2783274 · Cited by 37

Stability in flux: community structure in dynamic networks

Bryden, J., Funk, S., Geard, N. L., Bullock, S., & Jansen, V. A. A. (2010) · Journal of The Royal Society Interface · doi:10.1098/rsif.2010.0524 · Cited by 36

Web mining techniques for on-line social networks analysis

Ting, I. (2008) · International Conference on Service Systems and Service Management · doi:10.1109/icsssm.2008.4598506 · Cited by 36

The hidden pub/sub of spotify

Setty, V., Kreitz, G., Vitenberg, R. M., van Steen, M. R., Urdaneta, G., & Gimåker, S. (2013) · ACM International Conference on Distributed and Event-Based Systems (DEBS) · doi:10.1145/2488222.2488273 · Cited by 36

Game Bot Detection Approach Based on Behavior Analysis and Consideration of Various Play Styles

Chung, Y., Park, C., Kim, N., Cho, H., Yoon, T., Lee, H. P., & Lee, J. (2013) · ETRI Journal · doi:10.4218/etrij.13.2013.0049 · Cited by 36

A Dynamic Modularity Based Community Detection Algorithm for Large-scale Networks

Aktunc, R., Toroslu, İ. H., Özer, M., & Davulcu, H. (2015) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1145/2808797.2808822 · Cited by 36

Exploiting Relational Information in Social Networks using Geometric Deep Learning on Hypergraphs

Arya, D., & Worring, M. (2018) · International Conference on Multimedia Retrieval · doi:10.1145/3206025.3206062 · Cited by 35

Influence Maximization Problem With Echo Chamber Effect in Social Network

Zhu, J., Ni, P., Tong, G., Wang, G., & Huang, J. (2021) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2021.3073064 · Cited by 36

Hyperbolic Temporal Network Embedding

Yang, M., Zhou, M., Xiong, H., & King, I. (2022) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2022.3232398 · Cited by 37

Ethical Considerations when Employing Fake Identities in Online Social Networks for Research

Elovici, Y., Fire, M., Herzberg, A., & Shulman, H. (2013) · Science and Engineering Ethics · doi:10.1007/s11948-013-9473-0 · Cited by 35

Modeling the temporal dynamics of social rating networks using bidirectional effects of social relations and rating patterns

Jamali, M., Haffari, G., & Ester, M. (2011) · International World Wide Web Conference (WWW) · doi:10.1145/1963405.1963480 · Cited by 35

Ghostbusting facebook: detecting and characterizing phantom profiles in online social gaming applications

Nazir, A., Raza, S., Chuah, C., & Schipper, B. C. (2010) · Cited by 35

Selective Data Replication for Online Social Networks with Distributed Datacenters

Liu, G., Shen, H., & Chandler, H. (2015) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2015.2485266 · Cited by 35

Supergraph based periodic pattern mining in dynamic social networks

Halder, S., Samiullah, M., & Lee, Y.-K. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.10.033 · Cited by 35

Efficient progressive minimum k-core search

Li, C., Zhang, F., Zhang, Y., Qin, L., Zhang, W., & Lin, X. (2019) · Proceedings of the VLDB Endowment · doi:10.14778/3368289.3368300 · Cited by 35

GNNear

Zhou, Z., Li, C., Wei, X., Wang, X., & Sun, G. (2022) · International Conference on Parallel Architectures and Compilation Techniques (PACT) · doi:10.1145/3559009.3569670 · Cited by 46

A measure of Online Social Networks

Krishnamurthy, B. (2009) · doi:10.1109/comsnets.2009.4808857 · Cited by 35

Finding student-centered open learning environments on the internet: Automated dialogue assessment in academic virtual communities of practice

Nistor, N., Trăușan-Matu, Ș., Dascălu, M., Duttweiler, H., Chiru, C.-G., Baltes, B., & Smeaton, G. L. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.07.029 · Cited by 35

Practical Detection of Spammers and Content Promoters in Online Video Sharing Systems

Benevenuto, F., Rodrigues, T., Veloso, A., Almeida, J. M., Gonçalves, M. A., & Almeida, V. A. F. (2011) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2011.2173799 · Cited by 35

User Groups in Social Networks: An Experimental Study on YouTube

Laine, M. S. S., Ercal, G., & Luo, B. (2011) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2011.472 · Cited by 35

Community Assessment Using Evidence Networks

Mitzlaff, F., Atzmueller, M., Benz, D., Andreas Hotho, A., & Gerd Stumme, A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23599-3_5 · Cited by 33

Exploring social tagging for personalized community recommendations

Kim, H.-N., & Saddik, A. E. (2012) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-012-9130-3 · Cited by 34

Anónimos: An LP-Based Approach for Anonymizing Weighted Social Network Graphs

Das, S., Eğecioğlu, Ö., & Abbadi, A. E. (2011) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2010.267 · Cited by 35

Opinion Propagation in Online Social Networks

Cercel, D.-C., & Trăușan-Matu, Ș. (2014) · International Conference on Web Intelligence, Mining and Semantics · doi:10.1145/2611040.2611088 · Cited by 35

Isolating and analyzing fraud activities in a large cellular network via voice call graph analysis

Jiang, N., Jin, Y., Skudlark, A., Hsu, W.-L., Jacobson, G., Prakasam, S., & Zhang, Z.-L. (2012) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/2307636.2307660 · Cited by 34

Users joining multiple sites: Friendship and popularity variations across sites

Zafarani, R., & Liu, H. (2015) · Information Fusion · doi:10.1016/j.inffus.2015.07.002 · Cited by 35

Domain-aware trust network extraction for trust propagation in large-scale heterogeneous trust networks

Jiang, C., Liu, S., Lin, Z., Zhao, G., Duan, R. X., & Liang, K. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2016.08.019 · Cited by 34

Revisiting Power-law Distributions in Spectra of Real World Networks

Eikmeier, N., & Gleich, D. F. (2017) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3097983.3098128 · Cited by 34

Thresholding functional connectomes by means of mixture modeling

Bielczyk, N., Walocha, F., Ebel, P., Haak, K. V., Llera, A., Buitelaar, J. K., Glennon, J. C., & Beckmann, C. F. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.003 · Cited by 36

Shortest Path Distance Approximation Using Deep Learning Techniques

Rizi, F. S., Schlötterer, J., & Granitzer, M. (2018) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1109/asonam.2018.8508763 · Cited by 34

Community Detection in Partially Observable Social Networks

Tran, C., Shin, W.-Y., & Spitz, A. (2021) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3461339 · Cited by 35

How User Experience Changes over Time: A Case Study of Social Network Services

Kim, H. K., Han, S. H., Park, J., & Park, W. (2014) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.20583 · Cited by 34

Brief announcement

Sala, A., Zheng, H.-T., Zhao, B. Y., Gaito, S., & Rossi, G. P. (2010) · ACM Symposium on Principles of Distributed Computing (PODC) · doi:10.1145/1835698.1835791 · Cited by 34

Analyzing the Facebook Friendship GraphPreprint

Catanese, S., Meo, P. D., Ferrara, E., & Fiumara, G. (2010) · arXiv (Cornell University) · doi:10.48550/arxiv.1011.5168 · Cited by 34

Detecting Cohesive and 2-mode Communities in Directed and Undirected NetworksPreprint

Yang, J., McAuley, J., & Leskovec, J. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1401.7375 · Cited by 36

Enterprise social network analysis and modeling: A tale of two graphs

Cao, J. L., Gao, H., Li, L. E., & Friedman, B. D. (2013) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2013.6567043 · Cited by 33

An Economic Model and Simulation Results of App Adoption Decisions on Networks with Interdependent Privacy Consequences

Pu, Y., & Großklags, J. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-12601-2_14 · Cited by 32

Factorization Bandits for Online Influence Maximization

Wu, Q., Li, Z., Wang, H., Chen, W., & Wang, H. (2019) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3292500.3330874 · Cited by 33

Lightweight Challenge-Response Authentication in SDN-Based UAVs Using Elliptic Curve Cryptography

Usman, M., Amin, R., Aldabbas, H., & Alouffi, B. (2022) · Electronics · doi:10.3390/electronics11071026 · Cited by 33

Large-scale energy-efficient graph traversal: A path to efficient data-intensive supercomputing

Satish, N., Kim, C., Chhugani, J., & Dubey, P. K. (2012) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1109/sc.2012.70 · Cited by 33

The Role of Twitter in the World of Business

Curran, K., O’Hara, K., & O’Brien, S. (2011) · International Journal of Business Data Communications and Networking · doi:10.4018/jbdcn.2011070101 · Cited by 33

Evaluating Sampling Techniques for Large Dynamic Graphs

Rasti, A. H., Torkjazi, M., Rejaie, R., Duffield, N. G., Willinger, W., Stutzbach, D., & Enterprises, S. (2008) · Cited by 33

Privacy-preserving P2P data sharing with OneSwarm

Isdal, T., Piatek, M., Krishnamurthy, A., & Anderson, T. E. (2010) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1851275.1851198 · Cited by 33

Identification of efficient observers for locating spreading source in complex networks

Zhang, X., Zhang, Y., Lv, T., & Yin, Y. (2015) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2015.09.017 · Cited by 32

Flash Floods and Ripples: The Spread of Media Content through the Blogosphere

Cha, M., Antonio, J., Pérez, N., & Haddadi, H. (2009) · Cited by 32

Social influence and spread dynamics in social networks

Zheng, X., Zhong, Y., Zeng, D. D., & Wang, F. (2012) · Frontiers of Computer Science · doi:10.1007/s11704-012-1176-1 · Cited by 32

Social network privacy measurement and simulation

Wang, Y., Nepali, R. K., & Nikolai, J. (2014) · 2012 International Conference on Computing, Networking and Communications (ICNC) · doi:10.1109/iccnc.2014.6785440 · Cited by 32

Online social networks: measurement, analysis, and applications to distributed information systems

Druschel, P., & Mislove, A. E. (2009) · Rice Research Repository (Rice University) · Cited by 137

Online social networks: Measurement, Analysis, and . . .

Mislove, A. E. (2009)

Current Issues in IT-Management Applicability of Graph Metrics when Analyzing Online Social Networks

Hilbrich, R., & Gürses, S. F. (2008)

networking sites

Doroudi, S. (2012)

Measurement and Analysis of Online Social Networks Systems

Ferrara, E. (2014) · Springer eBooks · doi:10.1007/978-1-4614-6170-8_242 · Cited by 4