Search results “Social network analysis weak ties”
Social Networks and Getting a Job: Mark Granovetter
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Structure of weak ties, bridges, and local bridges
Structure of weak ties, bridges, and local bridges
Views: 3768 Social Networks
Tie Strength
An introduction to the concept of tie strength in social network analysis. Table of Contents: 00:17 - Strong vs. Weak Ties 01:23 - Mark Granovetter 02:11 - Getting a Job 03:11 - Getting a Job 03:55 - Getting a Job 04:49 - Replicating Milgram's Six Degrees 05:46 - Weak Ties in Use 06:09 - The benefits of weak ties 06:44 - The network of strong ties 09:21 - Measuring Tie Strength 12:57 - Measuring Tie Strength 14:46 - Marker 16:31 - Measurement Overlaps 19:04 - Network Structure -- Forbidden Triad 19:33 - Marker 21:23 - Tie Strength and Propagation
Views: 5489 jengolbeck
Hacking into the power of social networks
Sources for scientific journals are provided below. New videos come out every Thursday so subscribe for more videos. Visit my Facebook page for more bite sized tips and psychology information https://www.facebook.com/BiteSizePsych Also, if you like the music behind it, you should check out the musician behind it. This is his latest project: https://www.youtube.com/watch?v=wepL1wsn1B0 Sources Happiness http://www.bmj.com/content/337/bmj.a2338 Obesity http://www.nejm.org/doi/full/10.1056/NEJMsa066082 Smoking http://www.nejm.org/doi/full/10.1056/NEJMsa0706154 Cooperation https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2851803/ Loneliness http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2792572/ Weak ties https://sociology.stanford.edu/sites/default/files/publications/the_strength_of_weak_ties_and_exch_w-gans.pdf Birds of a feather http://www.annualreviews.org/doi/abs/10.1146/annurev.soc.27.1.415
Views: 47166 Bite Size Psych
Granovetter's Strength of weak ties
Granovetter's Strength of weak ties
Views: 4490 Social Networks
PS 5: Enhancing structural diversity in social networks by recommending weak ties
Enhancing structural diversity in social networks by recommending weak ties Javier Sanz-Cruzado, Pablo Castells 10.1145/3240323.3240371 Contact recommendation has become a common functionality in online social platforms, and an established research topic in the social networks and recommender systems fields. Predicting and recommending links has been mainly addressed to date as an accuracy-targeting problem. In this paper we put forward a different perspective, considering that correctly predicted links may not be all equally valuable. Contact recommendation brings an opportunity to drive the structural evolution of a social network towards desirable properties of the network as a whole, beyond the sum of the isolated gains for the individual users to whom recommendations are delivered -global properties that we may want to assess and promote as explicit recommendation targets. In this perspective, we research the definition of relevant diversity metrics drawing from social network analysis concepts, and linking to prior diversity notions in recommender systems. In particular, we elaborate on the notion of weak tie recommendation as a means to enhance the structural diversity of networks. In order to show the signification of the proposed metrics, we report experiments with Twitter data illustrating how state of the art contact recommendation methods compare in terms of our metrics; we examine the tradeoff with accuracy, and we show that diverse link recommendations result in a corresponding diversity enhancement in the flow of information through the network, with potential implications in mitigating filter bubbles.
Views: 25 ACM RecSys
Social Networks, Bridging Gaps and Your Reputation at Work
American sociologist and strategist Ronald Burt is known for his work on social networks and structural holes, the information gaps that can hold organizations back. In this interview with IESE, Burt explains why network brokers are so valuable and how reputations are made -- and how they travel. Get inspired! Subscribe to IESE's YouTube Channel: http://bit.ly/IESEyoutube http://www.iese.edu/
Views: 3627 IESE Business School
Social Capital Theory
There is no single social capital theory. Instead, there are many contradicting theories that try to establish what social capital is. Social capital is what provides access to resources embedded in social relationships and enables people to mobilise these embedded resources to facilitate action. Social capital is comprised of three core concepts: resource, network structure and network relationships.
Views: 123305 QUT IFB101
Social Network Community Structure
See the full course: https://systemsacademy.io/courses/social-complexity/ Twitter: http://bit.ly/2HobMld In this module we will be talking about social networks on the micro level, looking at agents and their local community. We will quickly talk about the basics of social graphs, before going on to discuss a number of different metrics for trying to understand how significant an agent is within a network, we will discuss interpersonal ties as we talk about strong and weak connections, finally, we will look at the so-called small world phenomena.
Views: 4107 Systems Academy
Social Networks as Information Filters
Social networks, especially online social networks, are driven by information sharing. But just how much information sharing is influenced by social networks? A large-scale experiment measured the effect of the social network on the quantity and diversity of information being shared within Facebook. While strong ties were found to be individually more influential, collectively it is the weak ties that wield more influence and provide more diverse information exposure. This sharing behavior not only generates large cascades, but can also cause information to evolve. Lada Adamic of the University of Michigan spoke about all this and more with engaging examples at the 2013 SIAM Annual Meeting.
MobLab Live: How Social Ties Scale Modern Advocacy Campaigns
Global Conversations for Changemakers! Hahrie Han, David Karpf and Meghana Rao will join us to explore new research on social ties and relationships to understand network connections and interactions are impacting modern campaigning and affecting how organizations, campaigns, and coalitions build relationships with individuals. Tweet us at #MobLabLive
Views: 638 MobilisationLab
The Science of Six Degrees of Separation
Are all people on Earth really connected through just six steps? There's much more science in this than I initially expected. It turns out ordered networks with a small degree of randomness become small-work networks. This is why your acquaintances turn out to be more important in job searches and finding new opportunities than close friends. DON'T SEND ME AN EMAIL anymore... 1. Do not send it directly to me unless you know me. 2. Send the email to someone you have met IN PERSON and know on a first name basis AND THEY KNOW YOU. 3. Make the subject line 'Six Degrees of Veritasium' 4. Explain that you're trying to get this email to me and ask them to forward it on to me (only if they know me IRL) or someone they know who might know me. 5. If your email reaches me by Sept. 1, 2015 I will email you back and ask for your address so I can send you a postcard. Animations in this video by The Lyosacks: https://www.youtube.com/user/TheLyosacks There are some great books on this topic: Duncan Watts, Six Degrees: The Science of a Connected Age Albert-Laszlo Barabasi, Linkds: How Everything is Connected to Everything Else And here are articles I referred to: Milgram's small world experiment: http://www.uvm.edu/~pdodds/files/papers/others/1969/travers1969.pdf http://snap.stanford.edu/class/cs224w-readings/milgram67smallworld.pdf Granovetter, Strength of Weak Ties: https://sociology.stanford.edu/sites/default/files/publications/the_strength_of_weak_ties_and_exch_w-gans.pdf
Views: 2868981 Veritasium
Lecture 28 Granovetter's Strength of weak ties by IIT ROPAR
Like the video and Subscribe to channel if you liked the video. Recommended Books: Understanding Social Networks: Theories, Concepts, and Findings http://amzn.to/2y3wOiq Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives -- How Your Friends' Friends' Friends Affect Everything You Feel, Think, and Do http://amzn.to/2g2Ppq5 The SAGE Handbook of Social Network Analysis http://amzn.to/2g1mkLD Analyzing Social Networks http://amzn.to/2g12iRH
strength of weak ties
strength of weak ties
Views: 1198 UC Online
Marketing on Social Networks
Marketing on Social Networks
Views: 3889 Social Networks
2013 Everett M. Rogers Award Colloquium
Stanford Professor of Sociology Mark Granovetter is the recipient of the 2013 Everett M. Rogers Award. Cited over 24,000 times, Granovetter's 1973 paper "The Strength of Weak Ties" is a social science classic and a milestone in network theory. Our close friends are strongly in touch with us and each other, he wrote, but our acquaintances -- weak ties -- are crucial bridges to other densely knit clumps of close friends. The more weak ties we have, the more in touch we are with ideas, fashions, job openings and whatever else is going on in diverse and far-flung communities. Granovetter will present "The Strength of Weak Ties" Revisited. He will discuss how he came to write it; where it fits in the history of social network analysis; how its argument has held up over the years; and its significance in recent social revolutions, where it's often been claimed that social networks are at the core of new political developments.
Views: 2066 USC Annenberg
The Structural Basics of Social Networks (Undergraduate Primer)
This video produced for the University of Maine at Augusta introduces the following basic structural elements of a social network: nodes, ties, direction, distance, cut points and density.
Views: 1428 James Cook
Using strong triadic closure to characterize ties in social networks (KDD 2014 Presentation)
Using strong triadic closure to characterize ties in social networks KDD 2014 Presentation Stavros Sintos Panayiotis Tsaparas In the past few years there has been an explosion of social networks in the online world. Users flock these networks, creating profiles and linking themselves to other individuals. Connecting online has a small cost compared to the physical world, leading to a proliferation of connections, many of which carry little value or importance. Understanding the strength and nature of these relationships is paramount to anyone interesting in making use of the online social network data. In this paper, we use the principle of Strong Triadic Closure to characterize the strength of relationships in social networks. The Strong Triadic Closure principle stipulates that it is not possible for two individuals to have a strong relationship with a common friend and not know each other. We consider the problem of labeling the ties of a social network as strong or weak so as to enforce the Strong Triadic Closure property. We formulate the problem as a novel combinatorial optimization problem, and we study it theoretically. Although the problem is NP-hard, we are able to identify cases where there exist efficient algorithms with provable approximation guarantees. We perform experiments on real data, and we show that there is a correlation between the labeling we obtain and empirical metrics of tie strength, and that weak edges act as bridges between different communities in the network. Finally, we study extensions and variations of our problem both theoretically and experimentally.
Network Mathematics and Rival Factions | Infinite Series
Viewers like you help make PBS (Thank you 😃) . Support your local PBS Member Station here: https://to.pbs.org/donateinfi The theory of social networks allows us to mathematically model and analyze the relationships between governments, organizations and even the rival factions warring on Game of Thrones. Tweet at us! @pbsinfinite Facebook: facebook.com/pbsinfinite series Email us! pbsinfiniteseries [at] gmail [dot] com Previous Episode Arrow’s Impossibility Theorem https://www.youtube.com/watch?v=AhVR7gFMKNg Written and Hosted by Kelsey Houston-Edwards Produced by Rusty Ward Graphics by Ray Lux Made by Kornhaber Brown (www.kornhaberbrown.com) Resources and Special thanks: Network, Crowds and Markets, by David Easley and John Kleinberg :: https://www.cs.cornell.edu/home/kleinber/networks-book/ Cartwright and Harary :: http://snap.stanford.edu/class/cs224w-readings/cartwright56balance.pdf Antal, Krapivsky, and Redner :: http://physics.bu.edu/~redner/pubs/pdf/dresden.pdf Steven Strogatz Lecture :: https://www.youtube.com/watch?v=P60sWUxluyk Special Thanks: Steven Strogatz Commonly, in the field of social network analysis, one uses a graph - also called a network - where the vertices, or nodes, represent individuals and the edges represent something about the relationships or interactions between individuals. These networks might represent Facebook friendships, or help us understand the spread of disease. This episode focuses on one model of a social network that encodes whether relationships are positive or negative -- in other words, if they’re friendly or hostile -- and the notion of structural balance. Challenge Winners: Cantor’s Cat https://www.youtube.com/watch?v=AhVR7gFMKNg&lc=z13lyxtxmom1tv51y23tzluompyzg5xkw David de Kloet https://www.youtube.com/watch?v=AhVR7gFMKNg&lc=z13lyxtxmom1tv51y23tzluompyzg5xkw.1498299129602777 Comments answered by Kelsey: Edelopo https://www.youtube.com/watch?v=AhVR7gFMKNg&lc=z12ftje5aybuxhro204chdn4tuqovxwjapk0k
Views: 79120 PBS Infinite Series
Climate Change and Land Management: Social Network Analysis
This webinar was held as a part of the Climate Change Science and Management Webinar Series, a partnership between the USGS National Climate Change and Wildlife Science Center and the FWS National Conservation Training Center. Webinar Description: Many federal agencies are currently striving to plan for climate change adaptation. Researchers for this project explored 1) the degree to which federal resource managers believe that climate change adaptation is important in their work and 2) the degree to which these managers are connected to each other and to a broader research community that can provide a scientific basis for climate change adaptation actions. The project consisted of a social network analysis of federal resource managers in the regions encompassed by the Southwest and North Central CSCs. Methods for this project included an online survey targeting resource managers from the Bureau of Land Management, Forest Service, National Park Service and Fish and Wildlife Service, as well as a snowball survey to garner opinions from people within academic, nongovernmental and federal research organizations (e.g., USGS), as well as from state resource managers. This study resulted in a number of different findings, including an overall strong concern for climate change impacts on natural resources among resource managers and a varying degree of connectedness between resource management agencies and research units.
Views: 1193 USGS
Social Network Analysis
An overview of social networks and social network analysis. See more on this video at https://www.microsoft.com/en-us/research/video/social-network-analysis/
Views: 5174 Microsoft Research
Network Embeddedness Theory
The origin and relevance of social or network embeddedness.
Views: 7573 Dave Biesinger
Valentina Tenti : Ethnic patterns and co-offending networks in Italy's illegal drug trade
Summary : This conference presents the results of a case study which examines the structure and composition of Italian and foreign group co-offending in Italy's illegal drug trade. Rather than examining network of individuals as prior research has done, the study's main object is to assess how offenders and criminal groups of diverse ethnic origins interact and organize their activities within the illegal drug trade scene. To this end, two contrasting hypotheses are formulated. Following the same mechanisms occurring in the general market at large, the first hypothesis (vertical structure) asserts that barriers to entrance in profitable segments of the drug distribution process exist for foreign market players and, thus, they position themselves at the lowest stages of the crime ladder while Italian criminal groups firmly hold the most rewarding positions and firmly maintain control over the market. From a different perspective, the second hypothesis (horizontal structure) asserts that both Italian and foreign market players have room to act autonomously with no higher-level offenders to contend with. They develop interest-based sets of cooperation to extend opportunities for illegal gain and co-offending is shaped for the sake of common business ventures. Using social network analysis on data from a police investigation (Operazione Luna Blu, Italy 2002), the author shows that different types of crime groups tend to have unique co-offending patterns as measured by network composition and structure. The results also reveal how Italian and foreign market players co-operate at different levels of the drug commodity chain, and support past research who suggests that ethnic-based categories may be misleading when trying to classify criminal groups.
Lecture 30 Structure of weak ties, bridges, and local bridges by IIT ROPAR
Like the video and Subscribe to channel if you liked the video. Recommended Books: Understanding Social Networks: Theories, Concepts, and Findings http://amzn.to/2y3wOiq Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives -- How Your Friends' Friends' Friends Affect Everything You Feel, Think, and Do http://amzn.to/2g2Ppq5 The SAGE Handbook of Social Network Analysis http://amzn.to/2g1mkLD Analyzing Social Networks http://amzn.to/2g12iRH
The Ego: Brokerage & Closure
Social network mini-lecture on brokerage and closure.
Views: 365 Charlie Collins
Strong vs Weak Ties
Info 2450, Cornell, Fall 2013 Aditya Chirimar, amc395
Views: 315 Aditya Chirimar
Social Capital
Social capital are the resources that can be made as a result of social networks, both face-to-face networks and online social media ones. Social capital is created through the interconnections that we make with people, the ties we have with others and that allow you to do things or get benefit from. some people we know really well and these are strong ties such as friends and family and student peers. Other people we may not know at all or only know remotely. These are weak ties that can be important for the creation of resources that can get you beyond your strong tie networks and open up a world beyond your usual horizons. So, how can you use your knowledge about social capital to make and make things happen? Social media it is suggested can give us the opportunity to connect to people we don't know and to make these weak ties stronger. Music: ‘From Truth’ by Dexter Britain is licensed under a Attribution-NonCommercial-ShareAlike 3.0 International License. http://freemusicarchive.org/music/Dexter_Britain/Creative_Commons_Selection/From_Truth
Views: 120 Andrew Clay
Social Network Analysis Software -  NetMiner  : 2.7.2 Generating Analysis Result - Degree Centrality
Premium Social Network Analysis Software - NetMiner Demo Video # Part 2. Process Handling * 7. Examples - 2. Generating Analysis Result - Degree Centrality Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 473 CyramNetminer
Characterizing the structure of balanced networks
Characterizing the structure of balanced networks
Views: 1420 Social Networks
Social ties at work, a blessing or a curse?
Leif Brandes of Warwick Business School examines the win percentage and player signings of all NBA basketball teams from 1977 to 2011 to find out if hiring through your network harms business performance. Read the full story here http://www.wbs.ac.uk/news/how-using-your-contacts-can-harm-your-business/
Coding the importance of core nodes in cascading
Coding the importance of core nodes in cascading
Views: 614 Social Networks
Lightning Talk - Do Museums Worldwide Form a True Community on Twitter? by Alex Espinos
MW2014: Do Museums Worldwide form a true Community on Twitter? Lightning Talk Alex Espinós, La Magnética, Spain CART Transcripts: http://mw2014.museumsandtheweb.com/transcript/lightning-talks-3-how-we-work-or-not/ Some insights on the museum Twitter ecosystem through Social Network Analysis and Network Science. We have monitored all public interactions among 3.500 museums on Twitter for 4 months. This is still an ongoing analysis, so by the end of December we will have an 8-month data set and almost a year of data in early April when the conference is held. We aim to describe the Twitter ecosystem and answer questions such as:  In the latter case: which is the main criterion that explains the observed community structure: topic (i.e. contemporary art museums on one community, archaeological ones on another), language or country? Do the Twitter communities seem to mimic patterns of offline relationships? o The answers to these questions have consequences on how Museums actually use Twitter, and if it is used to share experiences and knowledge.  Which are the communities? Which are the key players in each community?  Does the small world principle apply? And the strength of weak ties? To what extend?  Are there structural holes, that is, museums that relate otherwise unrelated groups? Which are these key players in group connection and information spread?  Which are the most influential museums, not in terms of followers, but in terms of influence within the group of museums? The answer to these questions will offer interesting insights such as how Twitter is really used within the museum community, which museums allow the spread of information between different countries, and some best practices that will help museums worldwide to further benefit from the sharing information and experiences through Twitter.
Views: 103 MWMuseumsandtheWeb
Searching in a Network
Searching in a Network
Views: 4420 Social Networks
Positive and Negative Relationships - Introduction
Views: 1309 Social Networks
Social Network Analysis
Elizabeth Pyatt, instructional designer for TLT, talks about SNA (Social Network Analysis), which looks at how people are connected into communities.
Views: 56 Penn State TLT
Session Organiser & Chair: Andrea Galeotti, European University Institute. GOSSIP: IDENTIFYING CENTRAL INDIVIDUALS IN A SOCIAL NETWORK presented by: Esther Duflo, MIT INTERFIRM RELATIONSHIPS AND BUSINESS PERFORMANCE presented by: Jing Cai, University of Michigan SOCIAL INVESTMENTS, INFORMAL RISK SHARING, AND INEQUALITY presented by: Matthew Elliott, University of Cambridge
Social networks and climate change—migration in Mexico
Video abstract, summarizing the key findings of the article: Nawrotzki, R. J., Riosmena, F., Hunter, L. M., & Runfola, D. M. (2015). Amplification or suppression: Social networks and the climate change – migration association in rural Mexico. Global Environmental Change 35, 463-474. DOI: 10.1016/j.gloenvcha.2015.09.002 Abstract: Increasing rates of climate migration may be of economic and national concern to sending and destination countries. It has been argued that social networks—the ties connecting an origin and destination—may operate as “migration corridors” with the potential to strongly facilitate climate change-related migration. This study investigates whether social networks at the household and community levels amplify or suppress the impact of climate change on international migration from rural Mexico. A novel set of 15 climate change indices was generated based on daily temperature and precipitation data for 214 weather stations across Mexico. Employing geostatistical interpolation techniques, the climate change values were linked to 68 rural municipalities for which sociodemographic data and detailed migration histories were available from the Mexican Migration Project. Multi-level discrete-time event-history models were used to investigate the effect of climate change on international migration between 1986 and 1999. At the household level, the effect of social networks was approximated by comparing the first to the last move, assuming that through the first move a household establishes internal social capital. At the community level, the impact of social capital was explored through interactions with a measure of the proportion of adults with migration experience. The results show that rather than amplifying, social capital may suppress the sensitivity of migration to climate triggers, suggesting that social networks could facilitate climate change adaptation in place.
Views: 34 Raphael Nawrotzki
MBSE/Advanced Networks Colloquium: Guodong Shi, "Opinion Dynamics over Signed Social Networks"
MBSE/Advanced Networks Colloquium: Guodong Shi, "Opinion Dynamics over Signed Social Networks" Monday, May 2, 2016 11:00 a.m. 1146 AV Williams Building Combined Model-Based Systems Engineering and Advanced Networks Colloquium Opinion Dynamics over Signed Social Networks Guodong Shi Lecturer and Future Engineering Research Leadership Fellow Australian National University (roundtable: 2:00 p.m., 1146 AV Williams Bldg) Host: John Baras Abstract This talk will discuss evolution of opinions over a social network modeled as a signed graph. The sign attached to an edge in this graph characterizes whether the corresponding individuals or end nodes are friends (positive links) or enemies (negative links). Pairs of nodes are randomly selected to interact over time, and when two nodes interact, each of them updates its opinion based on the opinion of the other node and the sign of the corresponding link. This model generalizes the Degroot model to account for negative links: when two adversaries interact, their opinions go in opposite directions. Conditions are provided for convergence and divergence in expectation, in mean-square, and in almost sure sense, which exhibit phase transition phenomena for these notions of convergence. We establish a no-survivor theorem, stating that the difference in opinions of any two nodes diverges whenever opinions in the network diverge as a whole. We also prove a live-or-die lemma, indicating that almost surely, the opinions either converge to an agreement or diverge. Finally, we extend our analysis to cases where opinions have hard lower and upper limits. In these cases, we study when and how opinions may become asymptotically clustered to the belief boundaries and highlight the crucial influence of structural balance of the underlying network on this clustering phenomenon. Biography Guodong Shi is a Lecturer and Future Engineering Research Leadership Fellow at the College of Engineering and Computer Science, The Australian National University, Canberra, Australia. He received his Ph.D. in Systems Theory from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China, in July 2010. From Aug. 2010 to Apr. 2014 he was a postdoctoral researcher at the ACCESS Linnaeus Centre, School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden. His research interests include social opinion dynamics, distributed control systems, and quantum networking and decisions.
Views: 162 ISR UMD
Session 4 Part 4  - Afternoon Keynote: Making sense of the networked audience: The case of Facebook
Making sense of the networked audience: The case of Facebook - Dr. Bernie Hogan is a Research Fellow at the Oxford Internet Institute Social media sites are excellent at gathering friends, but not so great at making sense of them. This leads to social information overload: too many ties, too much information and too much tedium. There is a great deal of information latent in these friendships that can be used to make sense of our networks, both spatially and relationally. Particularly through the use of social network analysis (SNA), we can discover hidden influencers and coherent clusters. This talk will give an overview of some concepts of social network analysis and demonstrate how these can be applied to online social media sites. Bernie will use as case study his ongoing fieldwork on Facebook with Microsoft Research that demonstrates mismatches between the way individuals organize their online friendships and the way that order emerges from the friendships naturally. These findings will be distilled into some general principles that can be applied to social network sites generally.
Views: 53 LocalSocialSummit
Information Flow and Graph Structure in Online Social Networks
Jon Kleinberg of Cornell University presents a model that tracks the sharing and dispersion of information through social media networks.
Quantifying the Effect of Triadic Closure
Quantifying the Effect of Triadic Closure
Views: 1298 Social Networks