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Questions tagged [social-network-analysis]

Social network data consists of a collection of "nodes" (which can be any sort of entity - e.g. people, corporations) and "links" (which can be any sort of relationship - e.g. friend, sharing a board member).

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Visualize/Analyze the difference between graph networks

I'm newbie in Data Analyst. I am studying Computational Neuroscience. I have the two figures. A short description about the experiment is: an animal do a task with two conditions. I have a calcium ...
Charles 's user avatar
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2 answers
232 views

Is there any pre-built reddit trend analysis tool?

Basically I want to know what trends there are on Reddit today. Here are what I've looked at and why they don't work: r/popular or sites like Reddit Keyword Research Tool or Subreddit Stats only ...
Ooker's user avatar
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What is degree assortativity coefficient of a complete undirected graph?

Because it computes the correlation coefficient of degrees and the correlation coefficient of constant arrays is not defined, networkx library returns ...
Neo's user avatar
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1 answer
80 views

What are good Bipartite Graphs Algorithms?

Currently, I have a dataset with pairs . The idea is to detect any anomaly in these relationships. I was able to just use pandas to do the analysis so far. |Customer|Agent|Duration|Marks|etc |C1.......
mehmat's user avatar
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2 votes
1 answer
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What explains T5's recent resurgence?

I read on https://towardsdatascience.com/choosing-the-right-language-model-for-your-nlp-use-case-1288ef3c4929: I find the curve for T5 to be particularly interesting. What explains its recent ...
Franck Dernoncourt's user avatar
2 votes
1 answer
45 views

Method or tool to simulate weighted graphs with a specified weighted degree sequence

Are you aware of a method or tool to simulate a graph with that has a specified weighted degree sequence? They would be used to generate a distribution of bootstrap replicates.
Ruairi O'Sullivan's user avatar
1 vote
1 answer
797 views

Network Visualisation (Python/Excel)

I have a large data set similar to that in the screenshot below: and I want to visualise the whole data set like the diagram below (made with a lot of effort in PowerPoint!) Is there any way to do ...
Barry O'Keeffe's user avatar
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1 answer
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May high closeness centrality in email graph be interpreted as high involvement?

I have a network graph where nodes are email addresses and their connections are emails they send to each other. I have calculated closeness centrality for each node and got couple with very high ...
Ir8_mind's user avatar
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2 answers
291 views

Twitter data scraping: API vs Advabced Search

Need to analyze tweets on a specific topic, my application (for using Twitter API) was not approved. Instead, I tried to do it manually using Twitter Advanced Search. However it's more burdensome than ...
Eilia's user avatar
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0 answers
301 views

How do work around Kmeans value error?

I am working on a social network analysis project. My data comes from twitter. Before I run the analysis, I intend to apply clustering- specifically Kmeans to determine how to seperate tweets in ...
Falah Amro's user avatar
1 vote
1 answer
107 views

Is there a metric for "cliquiness" for social graphs?

Regarding social network graphs, let us say that I am connected to 10 people, and that each of them are connected to 10 people. At one extreme this means that I have 100 unique $2^{nd}$ degree ...
JnBrymn's user avatar
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Constructing a Weighted Random Graph [closed]

I want to create a weighted random graph (in contrast to the unweighted Erdős–Rényi model). I have a list of weights (derived from a real-world network, very skewed distribution that most weights are ...
RandomThinker's user avatar
1 vote
1 answer
404 views

Reduce size of a network graph for bipartite projection

I have a graph that I created from a pandas data frame. The length of the graph is ~450k edges. When I try to run the weighted_projected_graph function, it runs for ...
Sam Cohen-Devries's user avatar
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1 answer
867 views

Extract data from facebook

I am learning about social media analysis. I am aware that we can extract the data from twitter using hashtags and API. Ex; If I use #covid19, I will get all tweets ...
The Great's user avatar
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1 vote
2 answers
37 views

Biasing SVM algorithm towards particular subset of data

I'm training an SVM model for sentiment analysis, based on social media data eg. tweets. The model will be trained using a small selection of a particular company's tweets in order to classify new ...
Datashapa123's user avatar
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1 answer
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Data mining: Clique based clustering to make comparison in social network analysis

I am a very beginner in data mining. I want to work on Clique based clustering method. I want to make a comparison between various datasets for social network analysis or community detection of social ...
As if's user avatar
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2 votes
0 answers
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How to create new graph vertices from existing one with igraph in R?

I have the following DF in R representing a directed graph: ...
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Spread of infection: how to correct for population size

The Covid-19 death data for different countries should reflect how fast the infection spreads through the population and how susceptible the population is. The total number of deaths after some longer ...
Ivana's user avatar
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1 answer
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Scalable way to calculate betweenness centrality for a graph in spark

I have a use-case to calculate betweenness centrality of nodes. I have tried graphx with spark-betweenness but it is a very long running job. Has anyone successfully calculated betweenness centrality ...
abhati's user avatar
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1 answer
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Need some advice on approach to select only the informative emojis from the data set?

I have a giant data set from a local elections, which contains hashtags, emojis, and comments. I wanted to make a network analysis using only emojis. So far I have a network analysis graph made in R ...
CaseebRamos's user avatar
1 vote
1 answer
944 views

Counting Number of Parameters in Neural Networks [closed]

Note: This is an academics based problem. So in a recent in-class quiz, we were asked that if we have an input layer consisting of 20 nodes along with 2 hidden layers (one of size 10 and the other of ...
x89's user avatar
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2 answers
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NLP: Getting the top 5 or top 10 predictions

I am working on a social networking application and I have to make its news feed better. For example: If someone searches for 'suggest me some good books', it should yield some names. Now, I have ...
Viphawee Wannarungsee's user avatar
1 vote
0 answers
214 views

Label Propagation for weighted graph

I am working on "community detection" on a big network graph and I've been using the Label Propagation Algorithm from GraphFrames (Spark package). However, my graph is weighted and I was wondering ...
Alex's user avatar
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3 votes
1 answer
69 views

measuring flip-flop behaviour across several topics

I'm trying to analyze a behavior called "sentiment flipping" of users in a dataset, but I'm not able to step on. Let's suppose that I have two groups of users, say them good and bad users. My ...
Minions's user avatar
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1 vote
0 answers
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Correlation between (average daily) impressions and user response ratio in social media

I'm doing a preliminary study on data from a (niche) social media platform. Studying the correlations between impressions of an object (aka views), interactions (aka likes, comments, ...) and their ...
dcolazin's user avatar
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1 answer
112 views

Twitter Dataset

I have found the following dataset, apparently it is the largest tweet dataset: https://www.kaggle.com/kazanova/sentiment140 However, I am looking for a dataset of tweets, with columns containing: ...
Gavin Fitzpatrick's user avatar
0 votes
1 answer
483 views

Retrieving follower and followee (friend) counts using Twitter API

I want to retrieve Twitter users' follower and followee (friend) count using Twitter API. (I am reluctant with using a crawler ...
Jiho Choi's user avatar
  • 125
2 votes
1 answer
69 views

Name of this type of cross variable interaction Plot

In recent papers of Social Network Analysis , I have been observing this particular type of graph used increasingly. I looked for what they are called to replicate the graph, but couldn't find the ...
Pujan Paudel's user avatar
2 votes
2 answers
273 views

Are social network analysis and graph analytics the same thing?

Are social network analysis and graph analytics the same thing? If not, what are the differences? Is social network analysis perhaps a subset of graph analytics? Are they just modern extensions of ...
dcl's user avatar
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0 votes
1 answer
94 views

Protein interaction prediction- how to input this data structure

I know the basics of machine learning and have quite an experience with time series data or data fed in a tabular format. But in the picture, the data is arranged as a graph. Is there a way to input ...
Srishti M's user avatar
  • 471
2 votes
1 answer
117 views

How to retrieve Twitter username with UUID

I am trying to analyze FakeNewsNet which is a fake news dataset for Social Network Analysis. There are UUID(I am not sure about the entity name)s of users in the ...
Jiho Choi's user avatar
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1 vote
0 answers
108 views

Does anyone have examples of using graph theory/network science in the field of Business Intelligence? [closed]

A lot of examples for the use of graph theory revolve around either social networks (which I understand are useful for business intelligence) or scientific/biological application. I am exploring the ...
ToriTompkins's user avatar
1 vote
1 answer
610 views

How to do hidden variable learning in Bayesian Network with Python?

I learned how to use libpgm in general for Bayesian inference and learning, but I do not understand if I can use it for learning with hidden variable. More precisely, I am trying to implement approach ...
Liz's user avatar
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2 votes
1 answer
1k views

Twitter Retweet Network Visualization

I am trying to visualize retweet network in order to find out which users are most likely to have most influence on other users. Here is my code: ...
Stefan Radonjic's user avatar
1 vote
0 answers
20 views

Are they any technical SNA tutorials that focus on real-world business problems?

Most of the technical (e.g. NetworkX, iGraph, Gephi) SNA tutorials I see focus on "toy" examples. They show how to run various algorithms, but it's not clear what real problems these would solve---...
dommer's user avatar
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1 vote
0 answers
49 views

Link Prediction based Similarity Indices

So, I was reading some Link Prediction based algorithms and similarity indices. I came across two random walk based indices - Local Random Walk(LRW) and Superposed Random Walk(SRW). I read the ...
BitbyBit's user avatar
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2 votes
0 answers
102 views

Representing a community as a vector

My setup is this: Suppose I have transactional data over a large period of time. The parties of each transaction are labled, and I use Louvain algorithm for detecting communities (and sub-communities)...
gbi1977's user avatar
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1 vote
0 answers
28 views

Seminal papers about analysis and application based on publicly released data [closed]

The US government releases a lot of varied data here. Data science and data analytics have greatly matured over the last decade varying from Cambridge Analytica on one extreme to Google/Amazon Ads ...
user_1_1_1's user avatar
1 vote
1 answer
50 views

Is there a way to combine both ties (nondirected edges) and wins/losses (directed edges) in a single social network?

I'm currently building social networks for small colonies of animals which I've observed, with the aim of comparing changes in social network structure in response to changes in certain environmental ...
BTaylor's user avatar
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1 vote
1 answer
33 views

Voting patterns similarities

I'm interested in any research materials on voting patterns. I have a data set of how PMs (members of parliament) voted in my country during last couple of years. Each PM has 3 buttons: Yes, No, ...
Igor's user avatar
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1 vote
0 answers
16 views

Can we access social media advertisements and information like how many likes, comments, shares they received using their APIs?

I want to access social media advertisements and information about how popular they were ( how many likes, comments and shares they received and the comments). Can I get these information using these ...
Kabilesh's user avatar
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2 votes
1 answer
85 views

Extract details from bibliometrics data

I have set of bibliometrics data (references). I want to extract the author names, title and the name of the conference/journal from it. Since the referencing style used by different papers vary, I am ...
J Cena's user avatar
  • 201
3 votes
0 answers
75 views

Echo-Effect-Metric Network

I have been working on data science project where I am trying to build a metric for how inbred a source is in a network. We hope to apply this to intelligence reporting, in which documents tend to ...
Joseph Bosse's user avatar
3 votes
3 answers
2k views

Building a Citation Network to Analyze in R

I am working on network analysis project at one of our Nation's Service Academies, and I need a little help. As a starting point, we are looking at a citation network that we build by using the ...
Joseph Bosse's user avatar
1 vote
1 answer
201 views

Identify social users using graph embeddings

I have a social network and I want to identify the most social people in the graph. In a typical graph experiments this could have done using different network features. However, I recently came ...
Volka's user avatar
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1 vote
1 answer
39 views

On Creating an Interoperable Network Matrix

Complete self taught novice here. Question Are there any popular standards, or commonly used formats for representing/saving/sharing/serializing a network? Background I built a simple but very large (...
Gabriel Fair's user avatar
6 votes
2 answers
514 views

Why an eigenvector might be reasonable notion of centrality

Using adjacency matrix to represent a connection between node i and node j, 1 means connected and 0 means not connected. Using eigenvector to represent the centrality means the more nodes with high ...
Jerry's user avatar
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0 votes
3 answers
1k views

Visualizing community composition using network of pie charts

Given a social network, I want to perform community detection and compare the result to known node metadata, such as gender, age, etc. to see if certain communities are largely composed of "similar" ...
Zach Boyd's user avatar
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0 votes
2 answers
627 views

Can we apply community detection algorithms for word vector space?

As I understand we can apply community detection algorithms such as Louvain to detect communities in a social network (i.e. involves people). But I am quite interested in knowing if we can use the ...
Volka's user avatar
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0 votes
2 answers
1k views

how can i collect data set from social networks like instagram?

My name is Reza, a Master Student at Golestan University of Technical and engineering, Iran and my M.Sc. thesis is about detect fake account on social networks. so i need data set. how can i collect ...
Reza 's user avatar
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