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).

Filter by
Sorted by
Tagged with
1
vote
2answers
15 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 ...
0
votes
0answers
11 views

Build networks to study users’ behaviour

I have a dataset containing a list of users that published tweets through time. I would like to build the network through time. Would it something that I could do with this data? Sample of Dataset’s ...
0
votes
0answers
8 views

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 ...
0
votes
0answers
24 views

Evaluate new store location using customer movement data

I'm trying to build a decision support model for a brand to help in deciding where to open a new store of the brand in an urban area. The model will be focused on location observations (lat-lng, ...
2
votes
0answers
9 views

How to create new graph vertices from existing one with igraph in R?

I have the following DF in R representing a directed graph: ...
1
vote
0answers
15 views

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 ...
1
vote
1answer
111 views

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 ...
1
vote
1answer
23 views

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 ...
0
votes
0answers
10 views

Seeking: free, fast & compatible data network mapping website

I'm seeking a social network mapping website which I can use on both a laptop and an Amazon tablet. Google's Tourbuilder is very nice for what I'm working on, but not mobile compatible. Vis.occrp is ...
2
votes
1answer
62 views

Counting Number of Parameters in Neural Networks

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 ...
0
votes
2answers
31 views

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 ...
1
vote
0answers
49 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 ...
0
votes
0answers
7 views

Using network analysis on group chat membership?

I have a dataset of membership in club group chats for a couple hundred college students, and I am trying to analyze the relationships between the different groups. Is there any way I could use ...
2
votes
1answer
43 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 ...
1
vote
0answers
12 views

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 ...
1
vote
1answer
46 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: ...
0
votes
1answer
75 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 ...
2
votes
1answer
49 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 ...
2
votes
0answers
49 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 ...
0
votes
1answer
54 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 ...
2
votes
1answer
51 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 ...
1
vote
0answers
73 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 ...
1
vote
1answer
349 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 ...
2
votes
1answer
499 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: ...
1
vote
0answers
19 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---...
1
vote
0answers
25 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 ...
2
votes
0answers
90 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)...
1
vote
0answers
16 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 ...
1
vote
0answers
8 views

Is network a discrete dynamical system?

Consider any network, say network of flights between many cities or Internet or brain or social network. Is it correct to say that it can be considered as discrete dynamical system provided we have an ...
1
vote
0answers
16 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 ...
1
vote
1answer
23 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, ...
1
vote
0answers
14 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 ...
2
votes
1answer
61 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 ...
3
votes
0answers
53 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 ...
3
votes
3answers
1k 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 ...
1
vote
1answer
179 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 ...
1
vote
1answer
37 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 (...
6
votes
2answers
325 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 ...
0
votes
3answers
543 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" ...
0
votes
1answer
413 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 ...
0
votes
2answers
926 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 ...
1
vote
1answer
49 views

How do I calculate for each person in the network how many people agree with their opinion?

I have a signed bipartite graph in which the nodes are (1) students and (2) topics. An edge is drawn between a student and topic node if the student mentions their opinion about the topic in a short ...
5
votes
1answer
107 views

In what data science applications has the stack exchange dump been used?

Anonymized dumps of the stack exchange data are available here. Do you know projects or article that have been using these data (for social network analysis or information retrieval) ? My little ...
5
votes
2answers
417 views

In a directed graph, how to measure whether a node is more “upstream” or “downstream”?

Let's say that I have a directed graph, and for each node I want to have some measure of whether it is more of an "upstream" node (that lies at the beginning of many paths), or a "downstream" node (to ...
0
votes
1answer
66 views

Can I use sentiment analysis techniques and text processing for detection social bot in online social networks? [closed]

I want to study in field of " Detecting fake account on online social network by content/sentiment analysis " for Master's Thesis.is this possible?
0
votes
1answer
219 views

Clustering Multiple Networks

I'm looking for methods of Community Detection in networks. For example if I have a network of 100 people (each node is a person), how can I cluster nodes? What would be the best approach for grouping ...
1
vote
2answers
55 views

Why do we do citation analysis?

Pardon my question if it seems too general... I'm new to networks in general, but recently I came across a type of network called citations network. However, I couldn't figure out why we do citation ...
3
votes
1answer
87 views

Weighted degree in Multidimensional networks

Does there exist a definition for weighted degrees of multidimensional networks? I understand that the basic definition would be: Let $v\in V$ be a node of a network $G=(N,V,L)$. The function ...
1
vote
0answers
47 views

Measuring connectivity between clusters in an organizational network in R

I'm trying to conceptualize a network analysis problem and figure out where to start in terms of analysis techniques in R. Apologies as I'm fairly new to all this. Basically, I have a employee ...
1
vote
0answers
30 views

How to detect multiple handles used by the same individual?

Suppose a person (John Doe) uses different user names (handles) in different circumstances (for simplicity, let us limit the conversation to a single social network, e.g., ...