Social Networks - Science topic

Dear Mr. Srivastav!

My logic is that by providing the following case studies you can access the research methodology section within these publications and look at the details you consider appropriate:

1) Casañ, R.R., García-Vidal, E., Grimaldi, D. et al. Online polarization and cross-fertilization in multi-cleavage societies: the case of Spain. Soc. Netw. Anal. Min. 12, 79 (2022). https://doi.org/10.1007/s13278-022-00909-5 Open access:

2) Fionda, V., Madi, S.A. & Pirrò, G. Community deception: from undirected to directed networks. Soc. Netw. Anal. Min. 12, 74 (2022). https://doi.org/10.1007/s13278-022-00896-7, Open access:

3) Belcastro, L., Branda, F., Cantini, R. et al. Analyzing voter behavior on social media during the 2020 US presidential election campaign. Soc. Netw. Anal. Min. 12, 83 (2022). https://doi.org/10.1007/s13278-022-00913-9, Open access: '

4) Pallotti Francesca, Sharon Marie Weldon, Alessandro Lomi,

Lost in translation: Collecting and coding data on social relations from audio-visual recordings, Social Networks, Volume 69, 2022, Open access:

5) Alina Lungeanu, Mark McKnight, Rennie Negron, Wolfgang Munar, Nicholas A. Christakis, Noshir S. Contractor, Reprint of: Using Trellis software to enhance high-quality large-scale network data collection in the field, Social Networks, Volume 69, 2022, Open access:

6) Patrycja Stys, Samuel Muhindo, Sandrine N’simire, Ishara Tchumisi, Papy Muzuri, Bauma Balume, Johan Koskinen, Reprint of: Trust, quality, and the network collection experience: A tale of two studies on the Democratic Republic of the Congo, Social Networks, Volume 69, 2022, Open access:

Yours sincerely, Bulcsu Szekely

Have you looked into "social network analysis"? Lot of basics contained there that you would need to know regarding your questions. BTW, most human based networks are not very modular (i.e. disjoint) they are overlapping/intersecting(common membership)... so a whole new level of complexity is introduced which requires fuzzy set theory.

Hi,

To select an excellent thesis topic, see what others have done. To choose a topic, read reputable journals and conference papers to discover what others have done. By reading current articles, one may consider the studies' limits, what could be improved, and what other researchers have not done (because there is no point in doing the same thing again). Reading the literature is time-consuming and complex but essential for choosing a suitable topic. Young students should consult their supervisor throughout this process. The supervisor should offer relevant articles to read to validate research subject suggestions. The related work section and conclusion might highlight prior studies and suggest research ideas when reading a publication.

Also, the conclusion future section can be interesting to see.

Resources to check for topics:

Papers:

Hi José Wilian Batista Corrêa Several social networks (e.g. Instagram) usually adds some georeference information to posts/photos etc. that can be retrieved with Python APIs. Please consider that retreving these types of data currently violates TOS (terms of use) in most cases. For an example please see our paper regarding influencers on Instagram for sustainable tourism

Dear Dr. Estrada!

You made a relevant point. I tried to find a tool in Finland the country of residence of mine, still I could not find anything. I only tracked down a new research titled as "Digital Urban Planning Platforms: The Interplay of Digital and Local Embeddedness in Urban Planning" published in the International Journal of E-Planning Research in 2021. Maybe you could contact the author Dr. Ari-Veikko Anttiroiko working for Tampere University::

I am not a specialist of the field, he is...

Hope YOU have a Nice DAY!

Yours sincerely, Bulcsu Szekely

Studies have shown how various technologies mediate the relationships between individuals and the environment e.g. in the context of hiking/walking/driving in nature - and consequently the experiences of self and other(s). One can expect that social media and various apps new has added more and complex layers to the mix.

Media use in minority languages is affected by the position of the language in a growing digital market. ... The asymmetric position of minority languages makes them particularly vulnerable to unfavourable changes in the media landscape. Internet-based and mobile digital media are likely to introduce such changes.

Hello Nathan Zavanelli and Ehtisham Lodhi ,

I am confused. Your citations appear to be mostly concerned with animal or machine learning in non-Euclidean spaces. Which of these citations directly discusses electrical power systems, such as the national electrica power grid? And what problems, concerning electrical power grids, can only be solved by the non-Euclidean space approach that cannot be solved by the old 2-dimensional Euclidean representation of such a network?

Regards,

Thomas Cuff

Mapping?

The operationalization of digital capital is crucial in order to research digital inequalities. Digital capital, according to the definitions of leading authors in the field of digital sociology, agrees very well with Bourdieu's analytical focus on how capitals convert into each other, which may explain how new forms are being created inequalities or maintain existing ones. As for concrete case studies in the digital sphere, digital capital offers some handy theoretical tools that are more appropriate and specific than classical Bourdieu notions such as habitus or cultural capital. Changing the nature of the Internet and modern technologies requires both flexible theoretical concepts, and existing one's definitions and conceptualizations of digital capital can serve as a potential response to challenges of digital case studies. However, digital capital needs to be further expanded to include elements of digital culture precisely because it could adequately encompass online culture and digital products, such as online memes that are becoming increasingly popular and diverse. Recent works dealing with digital inequalities in Europe and the world show that digital inequalities in many countries can be perceived through the same social factors.

Kindly check also the following very good RG link:

Dear Rahman,

In recent years, research has been conducted on the sentiment of Internet users on various topics undertaken on Internet forms, in discussions on various Internet portals, issues entered in comments, posts, entries, and social media banners with the use of analytics carried out on Big Data Analytics platforms. The content of entries, comments, posts, etc. entered on specific, selected social media portals in a specific time range is examined. Most often, the first stage of this type of research is to collect thousands of entries, posts, etc. entered at a specific time and placed, for example, on a Tweeter with the use of specific keywords. Then, thousands of records of entries collected in this way are properly cleaned of unnecessary characters and processed in accordance with a specific algorithm for the preparation of research materials. Then, on the basis of the research material prepared in this way, a statistical analysis is carried out to diagnose the dominant specific phrases and phrases regarding a specific issue, topic, question, etc. In this way, the analysis of Internet users' sentiment regarding a specific topic is carried out using analytics carried out on Big Data Analytics platforms. . I have described these issues in the articles that I have posted on my Research Gate profile. I invite you to research cooperation.

Happy New Year 2022,

Be safe and healthy,

Best wishes,

Dariusz

Dear Gianluca, perhaps the following article might be useful for your research: Subramanian, K. R. (2017). Product promotion in an era of shrinking attention span. International Journal of Engineering and Management Research (IJEMR), 7(2), 85-91. https://www.indianjournals.com/ijor.aspx?target=ijor:ijemr&volume=7&issue=2&article=014

I use Facebook to publish my photos, to save interesting expressions and motivating pictures, to watch news and to communicate with my friends.

What software or programing library have you used?

Please refer these links

Wars will not end. War is the part of life, part of civilization. Nobody can stop this.

Depends which platforms. I do enjoy use ResearchGate as a platform to engage and keep abreast of ongoing research in various fields. I find it to be useful. Its great to see new publications, ask and answer questions etc. Its also a good platform to communicate with other dedicated researchers from around the world.

hi.,

Kindly Check this link:

Best wishes..

Any journal indexed in scopus

The "best tool" simply does not exist.

Dear all, AI is good, but no one can garanty the misuse of it. The privacy of people may be the subject of violation, as from one side it is a tool to extract and go into personal data. My Regards

In the field of social networking, I conduct research on the determinants of the development of internet marketing, including viral Real-Time marketing on social networks. In addition, I research the development of analytics carried out on Big Data Analytics portals, under which market research is carried out in the formula of Internet users' sentiment analyzes based on data, information, entries, posts, comments, banner content, etc. posted on social networks. I described the results of my research in articles, which, after publication, were also posted on my Research Gate profile.

Best regards,

Dariusz Prokopowicz

Are you asking opinion regarding the interface?

Pawel Sikora

Hi Oscar,

You can use Trackmyhashtag to download old Tweets. It is a Twitter analytics tool that can track any hashtags or topic and provides useful detailed analytics in real-time as well as historical.

It can help you to download old Tweets of any user since 2006. You will get complete tweet detail including total tweets, tweet content, contributors detail who contributed to that specific tweet, and other lots of useful metrics.

You need to visit this page: https://www.trackmyhashtag.com/historical-twitter-data

Here you will find a "Request data" form which you have to fill with your search term and select the dates and submit. After a while, you'll receive your Tweets data and other details with it.

Thank you:)

I liked the idea that the left hemisphere Sylvian fissure is responsible for *co-ordinating* motor actions and also for expressive language (AKA "Broca's area"). Deaf-mutes who rely on sign language loose their communicative ability after deep trauma to this area. The thesis is that during evolution it was the motor area which expanded to give homo habilis the ability to make tools (eg the stone-age axe) and to throw over-arm (a complex action that chimpanzees cannot do). With that growth came not only the ability to control the extremely fine motor actions needed for speech (one bonus) but also the ability to parse syntactically (which is bonus two - and one which our unfortunate deaf-mutes loose after a Broca area trauma). The part of the brain which lights up when we make non-linguistic shouts and yelps seems to be located further back from the Sylvian fissure (as it is in monkeys) which kind of loosens the support for the thesis that human language developed out of our ability to employ non-linguistic shouts and yelps with increasing complexity while doing things that required social cohesion. Thus in answer to Michael my reading of the evidence would favour a Piagetian interpretation that cognitive ability ontologically at least precedes language: but it is a cognitive ability of an extremely specialised kind and most probably a chicken-and-egg situation: motor cognitive ability hosts language which in turn develops cognitive ability. I do believe that poor devil Vygotsky theorised this as well, although he wrote far too little in his short life to develop it.

One thing we may be extremely sure of: just throwing in networking at random to an over-worked bunch of neurones will not accomplish much more than current AI networks are capable of: basically modelling the training data, quirks and all.

Thank you for information, it is a nice chance to publish a chapter book

Interesting.

I am also trying to find a program or an application to extract data from Facebook page. Netvizz is not working anymore and I tried to set up other programs but I did not achieved yet. If anyone knows a program to extract data from Facebook page, it would be really helpful.

I worked on this specific topic in my dissertation, I tried many tools but eventually, I and my research team decided to design a simulator for static, dynamic, and multilayer networks using NetLogo multiagent programming. Below is the link to the simulator, it might be useful in your work.

Note that you just need to configure the simulator based on your needs.

Good Luck

Dear Wasim Khan ,

Look the link, maybe useful.

Regards,

Shafagat

follower

please read this

Amritha Sasankan good interrogation

GIS Users conference, San Diego.

You can explore this online tool.

A huge effort for everyone: students, parents and teachers.

Species don't evolve that fast, they don't evolve from one generation to the next. However, it is only technological progress that is so dynamic and causes changes in people's behavior, e.g. in terms of the dominant communication standards. Communication is becoming more and more remote, realized via the Internet. In addition, the SARS-CoV-2 (Covid-19) coronavirus pandemic accelerated the processes of digitization and internetization of many spheres of human activity. But it is still the same species of Homo sapiens.

Best wishes,

Dariusz Prokopowicz

Found this article which evaluates Tactic Knowledge sharing

Personally I think maintenance phase occurs when the number of cases have dropped to a level that is manageable by the country's healthcare and continues to stay at that level, or decreases, for at least one year. Other factors such as GDP picking up, employment rate returning to pre-pandemic level or close to pre- pandemic level, and so on are certainly helpful in your field of interest.

Wow! Thanks a lot - I'll try this resource!

If you are interested in analysis of Twitter feed Wayne Williamson’s works could be useful.

Although the cost of raw material in a brewery does not represent the main source of expenditure, studies that seek to reduce the amount of raw material (water, malt, hops and yeast) are important. If we look at hops, for example, the reduction in the amount of hops used in breweries directly affects environmental issues. Obviously without losing the quality of the beer.

You may try webometric analyst software which can help you track mentions in social media platforms such as YouTube, Facebook, twitter, Mendeley, Altmetrics, Web citations etc. You may download it at https://www.mozdeh.wlv.ac.uk

Robin Mackenzie Featherstone you might want to try these:

https://openknowledgemaps.org/index

https://www.documentcloud.org/home

Hello Smail Boussaadi,

take a look at RG or Academia network. otherwise, If you want statistics about authors you can check Scopus or Clarivate Analytics (WOS) databases.

Please Go To This Link:

https://clootrack.com/knowledge_base/how-does-social-media-influence-consumer-behavior/

This Link Maybe Useful For You:

https://www.biospace.com/article/releases/why-social-networking-is-important-for-a-bioinformatics-developer-/

Please Go Top This Link:

https://gaag.home.xs4all.nl/work/PG_comparison.pdf

You can organize and publish a questionnaire online.

You can always use data crawling tools to extract data from social media!

Following

I think we should active and get more people to join RG. This platform is very useful for researcher and lecturers, and also for common people.

Thanks RG for facilitating us.

Nice Contribution Konstantin Aal

set of k-vital nodes usually means a set comprising of k number of vital nodes. Perhaps K vital nodes refer to the number than the nodes themselves.

The self is a complex interaction between memory and attention. In this case memory is facts we know about ourselves (self-knowledge), schematic structures built from our socio-cultural context and autobiographical memory. The Self is how we appraise, use, and prioritize not only information in memory, but also various interests and desires. These actions on memory, interests, and desires require varying degrees of attentional resources. Carolyn Jennings makes this point much better than I in her essay (https://aeon.co/essays/what-is-the-self-if-not-that-which-pays-attention). In sum, there is a bidirectional relationship between our Self and how we appraise, use, and prioritize what’s stored away in memory structures as well as our management of our interests and desires.

As mentioned by Ranjan Thilakarathne , demarcation and the assessment of available resources are needed. The minor work groups, their requirement of resources, and the sources of resources can be examined.

You`re welcome!

pq

I am also conducting the same methodology for my PhD thesis. I think you need to justify why you will analyse contents from IG and FB. In relation to the previous answer, after your analysis of your content, you might discover contradictions in your themes and therefore might affect how you draw conclusions especially if these are platform specific (e.g. content on IG is more about the visual cue versus FB, length of media shared on IG versus FB). This will not be an issue if all your themes are not platform specific.

You can NCapture in NVivo QDA to capture social media data, including Facebook and Twitter data.

Check the link below:

Regards

Dear Shano,

In social networks, border nodes are those on the periphery of communities (or the network). They have an important role in spreading information among communities as they (communities) are connected through these nodes. They are usually used to take control of information propagation whether the objective is to keep or to inhibit the diffusion. I propose to see works of Pr. Dirk Brockmann on diffusion, for example, " The Hidden Geometry of Complex, Network-Driven Contagion Phenomena" and many others, you can get a good idea on diffusion in complex networks in general.

>> ... telling people (Individuals, groups, organizations, etc) where to find expertise

Seems like an easy technological solution, but it is a much harder sociological solution! Strangers don't help strangers for various reasons, including their bosses or lack of sufficient context, or ... etc. We have worked with many organizations looking to share knowledge/expertise. It is a long process (most of it non-IT) and the best place to start is with an "as-is" map of who-goes-to-whom for info/knowledge/expertise.

This is a very interesting subject that you have brought up Jules SADEFO KAMDEM . However, it requires intense study and understanding before we can give a ready answer.

Thank you

Normally one would calculate betweenness by choosing pairs of vertices and incrementing a counter for each vertex on a shortest path. A randomized version might use a drunken walker. A random walk could express a genome. Two genomes, if they share a vertex, can produce offspring by a crossover there. In the end, you've got to sum up all occurrences of all vertices over all genomes of the pool.

Regards,

Joachim

Hi,

Your initial research question ("how digital transformation influences the relationship between structural holes in social networks and the innovative performance of the firm") appears conceptual in nature. In general you need to develop it further in a way that allows you to operationalize the details of the concepts involved. After that you can consult the libraries at your university and other sources to evaluate the relevance of databases available.

Regards, Juha

I agree withThiep in that you need to check the children online privacy protection act, get parents consents. If I may asked why are interested in such study?

Hi, there are a number of authors who have developed social models for looking at organisations, going back at least 70 years. And there is a process of development leading from the one to the other in order of increasing detail and complexity.

First comes Kurt Lewin’s “field theory” (1940 and earlier) where he states that to study a group you need to look further than the individual and to make a map of all the important factors in the surroundings of that group.

Then comes the Socio-technical systems approach pioneered by the Tavistock Institute, from the 1950s and later, which postulates that organisations are more than social systems. They found you have to study how people function in combination with the technical systems that they use. Read the earlier work byTrist, Rice, Miller and Bamforth because later on this approach became more related to designing and organising the work itself and later it became the Quality of Working life movement which is a different thing altogether.

A third step is a model for organisational diagnosis and development, by Philip Kotter from 1979. That model is fairly comprehensive and is still used, recently in literature describing implementing changes in the educational system in Nigeria and other countries.

This three-step model of theories is my own work, one of the pieces of work I did for my research. Theories do not drop from the heavens, they build on previous work which often is not given that recognition in publications because everyone wants to demonstrate their own brilliance.

If you find this useful, I can send you the litetature references. Just let me know.

Hi.,

Celebrity endorsement is a potent adverting strategy used to ... Find, read and cite all the research you need on ResearchGate. ... gaining a lot of market shares. .... He assumed that celebrity appeals are costlier than any other type of ... research has established that celebrity endorsement influence..

The benefits of using a celebrity for advertising are the ability to:

Hi.,

The rapidly popularized online social networks (OSNs) greatly enhance the speed and ... Therefore, mitigating the impact of bogus rumors is of primary importance.

For More info:

the IC and Lt models are very basic models I suggest yout this code:

Otherwise, you can check as well this model which are basically the same approach but for rumor propagation in OSNs:

The HISBmodel :https://github.com/adilo231/HISBmodel-A-Rumor-Diffusion-Model-Based-on-Human-Individual-and-Social-Behaviors-in-Onli

The HISBmodel simulator: https://github.com/adilo231/-HISBmodel-Simulator

If your need any further question send it here

A determinant of organizational performance is the ability to leverage expert knowledge: much of that knowledge is tacit and therefore difficult to capture, codify, and make available through search engines and database technologies. And so, when looking we usually turn to people we know for quick, reliable information (and chance conversations can help too.) However, in the connected economy, personal networks are no longer sufficiently diverse to identify all the right persons, much as reliance on random connections is a thing of the past. Staff directories are no longer adequate to the task: therefore, learning organizations thrive on rich and fluid linkages and use expertise location capabilities to put people in contact with one another.

I have an implementation of the SimRank algorithm in the following link:

In an information society environment, the Internet is being transformed from a communication channel into an environment for staying and interacting with consumers. By gaining unlimited access to products and being able to share consumer experiences, users influence each other's consumer behavior to a greater extent than before. The user actively accesses online and aggregator sites to find out pricing, product availability from the vendor, and additional service. The consumer also reads reviews on selected online merchandise sites. After reviewing customer reviews that have already tried the product, the consumer may overestimate the importance of the attributes of the product and, as a consequence, update the new need. When making a direct purchase, the consumer receives information from the manufacturer's or supplier's website about the terms of purchase, delivery and other technical issues. Once a purchase decision is made and implemented, the consumer can share their experiences through social networking sites, producer sites, and reviews, thus generating new content that will influence the behavior of other potential consumers.